Kategoriarkiv: Engineering/it

PhD and postdoc position in super-resolution imaging of the membrane

SDU Biotechnology section at Department of Chemical Engineering, Biotechnology and Environmental Engineering, Faculty of Engineering, University of Southern Denmark (SDU) invites applications for one 3-year PhD position and one 3-year post doc position in bioimaging. The position is funded by a Danish Funding source to unravel the composition and impact of nano-domains in live mammalian cells by spatiotemporal florescence and super-resolution microscopy. The PhD position is available from 1st of September 2018 or as soon as possible thereafter. The postdoc position is available from 1st of October 2018 or as soon as possible thereafter.

The project concerns imaging of nano-domains in live and fixed cells. Selected membrane proteins will be imaged using super-resolution microscopy, photoactivated localization microscopy and 3D imaging. Nano-domains and membrane proteins will be studied using those techniques.

Requirements to complete a PhD at SDU

  • Complete a study programme of 30 ECTS points
  • Participate in teaching and dissemination activities (e.g. conferences) corresponding to approx. one semester of full time employment
  • Carry out an external research stay.
  • Complete a PhD thesis. According to the rules for a PhD thesis at the Faculty of Engineering at SDU the thesis must include internationally scientific peer-reviewed articles.
  • Publicly defend your PhD thesis.

The successful applicant for the PhD position should have:

  • MSc in science, engineering, pharmaceutical sciences, biophysics or a related specialization.
  • The ideal candidate for the position already has experience with one or more of the following subjects: Bioimaging, biophysics, cell culture, analysis of fluorescence microscopy images and membrane proteins. The candidate must expect to be working with all of these areas during the PhD project and will get the sufficient training in the subjects that he or she is not familiar with.

The successful applicant for the postdoc position should have:

  • PhD in science, engineering, pharmaceutical sciences, biophysics or a related specialization.
  • The ideal candidate for the position already has experience with one or more of the following subjects: Bioimaging, biophysics, cell culture, analysis of fluorescence microscopy images and membrane proteins. The candidate must expect to be working with all of these areas during the post doc project and will get the sufficient training in the subjects that he or she is not familiar with.

Further information is available from Associate Professor Eva Arnspang Christensen, phone: +45 65504682, e-mail: arnspang@kbm.sdu.dk.

Application, salary and conditions of employment etc.

The PhD fellowship is a 3-year position. The post doc position is a 3-years position (1-year, can be extended with two more years).

Employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and AC (the Danish Confederation of Professional Associations), Cirkulære om overenskomst for Akademikere i staten 2015.

The faculty expects the applicants to have read the information on the PhD study at The Faculty of Engineering and on the general PhD work and salary conditions before applying.

Applications must be submitted electronically using the link below. Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb.

Please read the guideline for applicants.

An application must include:

  • Completed application form (Link to Application Form)
  • A curriculum vitae
  • A letter stating your interest, motivation etc. Please attach the motivational letter to “application material” under ” Research plan”
  • Letters of reference (Link to reference form)
  • Verified copies* of bachelor diploma and transcript
  • Verified copies* of master’s diploma and transcript
  • Verified copies* of PhD diploma and transcript (for the post doc position)
  • Calculation of point grade average (Link to calculator sheet with instructions)

*Please note the definition of verified:

Verified official transcripts of exams in English or Danish translation and verified copy of bachelor diploma and master’s diploma – All documentation must be officially translated into English or Danish. All documents must be verified.  Verified means that your home university or a public notary verifies that the copy is a true copy of the original document. Each page of the copy must be stamped with the original stamp of the verifying institution and added the text: “True copy of the original document” and signed with a blue pen.

The University encourages all interested persons to apply, regardless of age, gender, religious affiliation or ethnic background.

Further information for international applicants about entering and working in Denmark.

Further information about the PhD programme at the faculty and SDU can be found at:

The SDU PhD webpages

The faculty PhD website

Deadline: 1 June 2018
Unit: Faculty of Engineering
Campus: Odense
Read the job description and apply online

Post expires on Friday June 1st, 2018

PhD Project in Security in FogEdge Computing

DTU Compute’s Sections for Embedded Systems Engineering (ESE) would like to invite applications for a 3-year PhD position starting September 1st, 2018. The project is partially financed by the FORA ETN European project.

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU – both in terms of our scientific disciplines and our didactic innovation.

Project Description
To become a reality, Industry 4.0 requires the convergence of Operational and Information Technologies (OT & IT), which are currently separated in a hierarchical pyramid. Fog computing is an evolution of Cloud computing aiming at providing the benefits of the Cloud to the Industrial IoT, in order to facilitate and enable the realization of the IT+OT convergence. In this new paradigm, end-devices, Fog and Cloud form a three layer hierarchical service delivery model which, compared to the Cloud, enable more effective computing closer to the edge of the network.

Being at the intersection between IoT and Cloud, Fog Computing inherits all the security and privacy issues of both paradigms, but these become more critical due to the safety issues of industrial systems.

By extending the Cloud computing model with a “Fog layer” of devices, Fog computing expands the attack surface, as in principle any Fog device could be an entry point for attacking the overall system.

Secure data storage, secure computation, network security, authentication, are all examples of security challenges that need to be addressed to realise the Fog computing vision.

The PhD aims at targeting two basic objectives: 

Analyze the security threats of the Fog Computing infrastructure for Industry 4.0 using use cases from FORA industrial partners.Develop a security framework that takes advantage of the Fog Nodes and Time-Sensitive Networking (TSN) as security-enabling devices for the system.

Examples of expected outcome: elicitation/definition of attacker models and attack scenarios for industrial automation when using Fog computing; design a security framework that takes advantage of the Fog Nodes as security-enabling devices for the system; implementation of security services offered by Fog nodes to mitigate the identified security threats, without jeopardizing the operations and safety of the industrial applications; design and implement algorithms for anomaly detection, which use of the available access to data streams to detect attacks.

Requirements
Candidates must have a master degree in computer science, computational science and engineering (CSE), applied mathematics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document ability to write technical reports on security-related topics (scientific publications are a plus), and in addition have a background in security in distributed systems, in networking and network security. Furthermore, good command of the English language is essential.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.   

Assessment
The assessment of the applicants will be made by Nicola Dragoni, Paul Pop and Jan Madsen.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.  

You can read more about career paths at DTU here.   

Further Information
Further information concerning the project can be obtained from Associate Professor Nicola Dragoni.  

Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson +45 4525 3377.

Application
Applications must be submitted in English as one single PDF, and we must have your online application by 8 July 2018. Please open the link in the red bar in the top of the page: “apply online” (“ansøg online”). Applications must include: 

    application (letter of motivation)CVdocumentation of a relevant completed M.Sc. or M.Eng.-degreecourse and grade list of bachelor and master degreesExcel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master’s degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies. 

Deadline: 8 July 2018
Unit: DTU Compute
Read the job description and apply online

Post expires on Sunday July 8th, 2018

PhD scholarship in Roll-to-roll (R2R) coating of 3rd generation solar cells with optimal nano-structure

    This is a fully funded position offered by DTU Energy with all employee benefits.At DTU Energy, we have considerable experience with development of 3rd generation solar cells, specifically as regards scale-up to devices that can be manufactured at high speed in large volume.At DTU Energy, we are leading experts in characterization of the crucial nano-structures governing solar cell performance, but in order to model and manage charge generation and transport in solar cells, we need to understand not only the static structures, but also the dynamic properties of the system. See also below for a further description of the department and the research section.To become truly competitive as an important part of the energy supply in the future society, relying entirely on sustainable energy, we must apply knowledge about the connection between nano-structure and the fundamental processes of charge generation and transport in 3rd generation solar cells. Our group is working to establish this knowledge base, and your task will be to apply this to manufacturing of real solar cells, using scalable techniques like roll-to-roll (R2R) coating.

Responsibilities and tasks
If you carry a strong desire to apply your research for the benefit of a world free of the severe impacts of fossil fuels, you could be PhD student at DTU Energy.

In this project, results of experimental and theoretical research in fundamental nano-structural properties of polymer, kesterite and hybrid solar cells will be applied to scalable processing of such devices. As PhD candidate you will combine guidelines from 3D modelling with methods for in-line structural monitoring that map out the phase and pa-rameter space for benchmark materials systems. The goal is to transfer reported lab-scale champion solar cell performances to the R2R platform. With the possibilities of directed, scalable processing as opposed to the limitations of small scale batch-manufacturing there is even the possibility that new champion solar cell records will be made.

    You will rely on the efforts of a large group dedicated to supplying fundamental knowledge to direct your work on applications to device manufacture.Thus, you might be the one that realize the champion solar cell devices relying on 3rd generation technology with low manufacturing energy input and minimal environmental impact.You will be responsible for finding new and innovative solutions to realizing control of material parameters on the nano-scale, with methods that are up-scalable. This will require you to manipulate drying kinetics, through use of solvent mixtures, solvent temperature, substrate temperature and coating speed, or other processing steps, such as annealing by temperature, light absorption, electron beam or other means of supplying energy to the coated layers.You will be part of a large group of young researchers who are exploring new ground and following new tracks to achieve a ground-breaking success in a highly competitive field.If you have high ambitions for your own performance, and wish for the opportunity to make a significant impact, you should join us as part of a team that motivates and share each other’s ambitions for excellence.

The project constitutes a central part of SEEWHI, a 5 year project, funded by the European Research Council and aimed at a breakthrough in high-efficiency, large scale 3rd generation solar cells.

Qualifications
Candidates should have a master’s degree in engineering or a similar degree with an academic level equivalent to the master’s degree in engineering. 

You should have a background in experimental physics or chemistry. Experience with solution processing and device manufacture is especially welcomed.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Professor Jens Wenzel Andreasen and Head of Section Luise Theil Kuhn.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You will initially have your workplace at the Risø Campus near Roskilde. The entire DTU Energy department will move to new premises at the main DTU Campus in Lyngby, in the latter half of 2019.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Jens Wenzel Andreasen, +45 2132 6301, jewa@dtu.dk

You can read more about the Department of Energy Conversion and Storage at http://www.energy.dtu.dk/english.
Application
Please submit your online application no later than 15 June 2018.

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to obtaining their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply

    DTU Energy is focusing on functional materials and their application in sustainable energy technology. Our research areas include fuel cells, electrolysis, solar cells, magnetic refrigeration, superconductivity, thermo electrics, sustainable synthetic fuels, and batteries.The section for Imaging and Structural Analysis is leading the department research in imaging and scattering experiments with focus on in situ and in operando applications.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.

Deadline: 15 June 2018
Unit: DTU Energy
Read the job description and apply online

Post expires on Friday June 15th, 2018

PhD scholarship in Coating Degradation Detection and Monitoring under Marine Conditions

DTU Chemical and Biochemical Engineering seeks a PhD candidate for a research project on developing an intelligent system which can detect the early degradation of the coating before any visible signs of coating failure occurs and continuously monitor the real-time changes of the coating properties.

Responsibilities and tasks
This project will focus on: 

    Accelerated coating degradation testingSensor designDetection and monitoring system developmentCharacterization of coating performanceField testing of the system

Qualifications
Applicants are expected to have a Master’s degree in Chemical Engineering or Materials Science, or other related subject which involves significant components in corrosion science, electrochemistry, surface science, or polymer science. Experiences on electrochemical techniques, scanning probe or atomic force microscopy are desired. Knowledge or experience on programming and instrument development will be an asset.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.    

Further information
Further information may be obtained from Assistant Professor Huichao (Teresa) Bi, hubi@kt.dtu.dk or Professor Kim Dam-Johansen, kdj@kt.dtu.dk.  

You can read more about DTU Chemical Engineering at www.kt.dtu.dk/english. 

Application
Please submit your online application no later than 12 June 2018 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.

Deadline: 12 June 2018
Unit: DTU Chemical Eng.
Read the job description and apply online

Post expires on Tuesday June 12th, 2018

PhD scholarship in Role of Additives on Corrosion Protection of Metals by Organic Coatings

DTU Chemical and Biochemical Engineering seeks a PhD candidate for a research project on studying the role of additives on corrosion protection of metals by organic coatings. 

Responsibilities and tasks
This project will focus on 

    Characterization of coating performance – Organic coatings with additives, including pigments, fillers and other coating enhancing additivesStudying the factors affecting the coating performanceUnderstanding the coating protection/degradation mechanism

This project is aimed at enabling the industrial collaborator to develop organic coatings which can provide desirable corrosion protection properties.

Qualifications
Applicants are expected to have a Master’s degree in Chemical Engineering or Materials Science, or other related subject which involves components in corrosion science, electrochemistry, surface science, or polymer science. Experiences on electrochemical techniques, scanning probe or atomic force microscopy are desired.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.   

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.   

Further information
Further information may be obtained from Assistant Professor Huichao (Teresa) Bi, hubi@kt.dtu.dk, or Professor Kim Dam-Johansen, kdj@kt.dtu.dk. 

You can read more about DTU Chemical Engineering at www.kt.dtu.dk/English.  

Application
Please submit your online application no later than 12 June 2018 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies. 

Deadline: 12 June 2018
Unit: DTU Chemical Eng.
Read the job description and apply online

Post expires on Tuesday June 12th, 2018

PhD scholarship in Optimized Signaling Schemes for the Nonlinear Fiber Channel

Applications are invited for a 3-year PhD position funded by the European Commission’s ERC consolidator grant: ‘FRECOM – Nonlinear-Distortion Free Communication over the Optical Fibre Channel’. The objective of the FRECOM project is to develop novel methodologies and concepts to realize spectrally efficient transmitter and noise mitigating receiver architectures for communication over nonlinear optical fiber channel.

This Ph.D. project will explore novel signaling schemes, which are optimized by taking into account the nonlinear response of the optical fiber channel. A number of schemes will be investigated both numerically and experimentally. The project will start by focusing on approaches with a well-established theoretical foundation such as the Nonlinear Fourier Transform (NFT) and is expected to subsequently move on to apply more refined machine learning techniques, which enable to relax the assumption required by NFT, for example by focusing on auto-encoders and recurrent neural networks.

Responsibilities and tasks
This PhD position will investigate the research topics below using both experimental and theoretical methods, but not limited to these topics: 

    Develop novel receiver scheme for nonlinear Fourier division multiplexing systemsInvestigate the impact of non-ideal transmission schemes on the performance of nonlinear signalling schemesApply machine learning algorithms to improve the knowledge on the transfer function applied by the nonlinear fiber channel

Qualifications
Candidates should have a master’s degree in engineering or a similar degree with an academic level equivalent to the master’s degree in engineering.

Candidates are expected to have experience with designing and performing numerical simulations of coherent optical communication systems.

Moreover the candidate shall have additional skills as: 

    Good understanding of digital communicationsGood theoretical understanding of nonlinear Fourier transform (inverse scattering transform)Experience with machine learning techniques (expectation maximization algorithms, neural networks, Guassian processes, etc.)Experience using MATLAB or similarExperience with software for version control such as gitAbility to work independently, to plan and carry out complicated tasksGood communication skills in English, both written and spokenInnovative skills and the ability to generate new ideas

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.   

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

The work place will be at DTU Fotonik, Department of Photonics Engineering, at the Kgs. Lyngby Campus.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Darko Zibar, dazi@fotonik.dtu.dk.  

You can read more about DTU Fotonik on www.fotonik.dtu.dk.  

Application
Please submit your online application no later than 10 June 2018 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Fotonik has 210 employees with competences in optics and is one of the largest centers in the world based solely on research in photonics. Research is performed within optical sensors, lasers, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, nano-optics and quantum photonics.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.

Deadline: 10 June 2018
Unit: DTU Fotonik
Read the job description and apply online

Post expires on Sunday June 10th, 2018

PhD-position in understanding aging using artificial intelligence

PhD-position in understanding aging using artificial intelligence

 

For the Challenge Program ‘ Harnessing the Power of Big Datato Address the Societal Challenge of Aging’ funded by Novo Nordisk Fonden weare looking for a PdD student who is able to apply artificial intelligence tobetter understand the biology of aging. 

 

The PhD student will be anchored at the Departmentof Pathology, Rigshospitalet, Denmark, and the Center for Healthy Aging, Departmentof Cellular and Molecular Medicine, University of Copenhagen, Denmark.The Program comprises tens of professionals in several different institutions and you will be able to draw upon the expertise of your experienced colleagues.  

 

Information on the Department of Cellular and Molecular Medicine can befound at: www.sund.ku.dk  

 

Theappointment is a 3 years full time position, starting August 1st 2018 

 

Job Description 

ThePhD student will utilize big-data and machine learning to investigate howtissues change with aging. The candidate will deploy deep learning algorithmsand natural language processing to describe and understand pathologies in olderpeople.  

 

Qualifications:  

Thecandidate should have proven skills in bioinformatics analysis, particularlymachine learning, natural language processing and neural networks. Knowledgeof, and interest in, cellular and organismal aging is necessary. Mostimportantly, the candidate should show outstanding motivation, a passion forscience and a wish to become a leader in the field. In all cases, the abilityto perform the job will be the primary consideration, and thus we encourage everyone interested in this postto apply, regardless of personal background.  

 

Terms ofsalary and employment: 

Theterms of employment are set according to the Agreement between the Ministry ofFinance and The Danish Confederation of Professional Associations or otherrelevant professional organization. Successful applicants will receive a generoussalary as well as a monthly contribution of 17.1% of the salary paid into apension fund.  

 

Questions

Forfurther information about the position, please contact Morten Scheibye-Knudsen,Center for Healthy Aging, by email: mscheibye@sund.ku.dk   

 

Foreignapplicants may find the following links useful: www.ism.ku.dk(International Staff Mobility) and www.workingconditions.ku.dk

 

 

Applicationprocedure 

The application must be submitted inEnglish, by clicking on “Apply online” below, and must include the following: 

*Curriculum vitae with a list ofpublications, a report on previous research undertaken, and the names,addresses and contact details of 3 referees 

*Diplomas – all relevantcertificates, including grades 

*An outline of how you couldcontribute scientifically and intellectually to the research of this laboratory(approximately 1 A4 page 

Please note the applicant will becontacted if the assessment committee requires further documentation. 

 

After theexpiry of the deadline for applications, the authorized recruitmentmanager selects applicants for assessment on the advice of the AppointmentsCommittee. All applicants are then immediately notified whether theirapplication has been passed for assessment by an expert assessment committee.Selected applicants are notified of the composition of the committee and eachapplicant has the opportunity to comment on the part of the assessment thatrelates to the applicant him/herself. You can read about therecruitment process at http://employment.ku.dk

 

 

 

Apply online 

 

 

Founded in1479, the University of Copenhagen is the oldest university in Denmark. With37,000 students and 9,000 employees, it is among the largest universities inScandinavia and one of the highest ranking in Europe. The University consistsof six faculties, which cover Health and Medical Sciences, Humanities, Law,Science, Social Sciences and Theology. 

 

 

 

APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

Deadline: 1 June 2018
Unit: Det Sundhedsvidenskabelige Fakultet
Campus: Blegdamsvej 3, 2200 København N
Email:
Phone:
Read the job description and apply online

Post expires on Friday June 1st, 2018

PhD scholarship in Characterization of the Non-Uniform Fluid Distribution in Tight Petroleum Reservoirs

Center for Olie og Gas – DTU (DHRTC), in collaboration with CERE – Center for Energy Resources Engineering, DTU Chemical Engineering, are seeking a PhD candidate.

Characterization of the non-uniform fluid distribution in tight petroleum reservoirs
The problem of fluid distribution is relevant to a number of tight petroleum reservoirs in the North Sea, especially Valdemar and neighboring Adda. Indefiniteness in the lateral variation of the hydrocarbon composition is an important factor affecting prospective development of these tight Lower Cretaceous reservoirs.

Distribution of hydrocarbons in petroleum reservoirs may be non-uniform. The content of methane, ethane, intermediate and heavy hydrocarbons may vary from one to another point. This variation may be especially high in tight reservoirs, where equilibration between the different parts of a reservoir may be slow. Gravity and temperature differences may also contribute to this variance. An additional problem is inaccurate determination of the composition of the reservoir fluids. The goal of the project is to apply recent achievements in the non-equilibrium thermodynamics in order to study variation of the fluid properties in the tight reservoirs in a region of the Danish sector of the North Sea.

Responsibilities and tasks
The PhD student should be responsible for analysis of the reservoir data and modelling the fluid distribution in the petroleum reservoirs. Advanced thermodynamic and mathematical models will be applied and tested on the reservoir data the problem is both directly practical and deeply theoretical.

A prospective candidate to the PhD study should: 

    Have a petroleum, chemical engineering, chemistry, or other relevant educationBe familiar with the properties of the mixtures and their thermodynamic modellingHave a passion to mathematical and physical modellingPossess the well developed skills in programming. Matlab and Fortran are preferredBe motivated and adventurous researcher, loving to meet challenges.

Qualifications
Candidates should have a master’s degree in engineering or a similar degree with an academic level equivalent to the master’s degree in engineering.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.    

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Alexander Shapiro, tel.: +45 4525 2881.

You can read more about CERE at www.cere.dtu.dk and about the Oil Centre DTU at www.oilgas.dtu.dk.

Application
Please submit your online application no later than 1 June 2018 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

CERE is specialized on applied thermodynamics, including surface physical chemistry. Among its competences there are behavior of the mixtures and flows in porous media, also with application to the problems of petroleum engineering. The aim of the DHRTC is to improve the recovery of the hydrocarbon resources of the North Sea. In order to find the answer to declining oil production, the Center collaborates with the researchers at the DTU, and generally in Denmark and abroad. The proposed project is a part of this collaboration. Both CERE and DHRTC have a qualified research and technical personnel and advanced laboratory facilities, on which the present project may rely.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.

Deadline: 1 June 2018
Unit: DTU Chemical Eng.
Read the job description and apply online

Post expires on Friday June 1st, 2018

One or more PhD stipends in Integrated Design of Acoustic Timber Shells (6-18041)

At the Faculty of Engineering and Science, Department of Civil Engineering one ore more PhD stipends are available within the general research programme of Civil Engineering. The stipend is open for appointment from 1 September, 2018 or soon hereafter. The position is available for 3 years.

Job description

The PhD student shall contribute to research in integrated design of acoustic timber shells. Geometrical acoustics (GA) is a modelling method for the evaluation of the acoustics of a room, based on the assumption that sound propagates as rays. GA is undergoing radical changes due to the availability of platforms that employs graphics processing units (GPUs), massively parallel computing environments that make it possible to run tasks orders of magnitude faster than what is possible with a central processing unit (CPU). This technology enables new possibilities for optimization and integrated design. Existing research has been focused on embedding a GPU-accelerated geometric acoustic engine using stochastic ray tracing into parametric environment.

 The goals of the PhD are:

-the development of the GPU-accelerated acoustic engine through extensions aimed at improving the accuracy with an improved reflection model, developing of auralization, and implementing the engine in a Virtual Reality environment;

-the investigation of the impact of the acoustic engine in enabling the use of optimization tools, such as multi-objective and machine learning toolboxes, in room acoustic design, and the development of interfaces for end users;

-the implementation of case studies in the form of acoustic timber shells, aimed at investigating the impact of the research on the design process and seeking new strategies for the integration of structure, acoustics and digital fabrication.

Applicants must be committed and are expected to have basic knowledge of at least one programming language (preferably but no compulsorily C#), to have skills in the design of complex three-dimensional timber structures and to have experience in digital manufacturing processes and tools.

It is also an advantage if the applicant has skills in presentation and dissemination. You may obtain further information from Professor Lars Damkilde, Department of Civil Engineering, phone: +45 9940 7648, email: lda@civil.aau.dk   concerning the scientific aspects of the stipend. 
 

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed every six months. It is a prerequisite for continuation of salary payment that the previous progress is approved at the time of the evaluation.

The qualifications of the applicant will be assessed by an assessment committee. On the basis of the recommendation of the assessment committee, the Dean of the Faculty of Engineering and Science will make a decision for allocating the stipend.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff , The Faculty of Engineering and Science, email: ld@adm.aau.dk,  phone: +45 9940 9589.

For more information of The Doctoral School of Engineering and Science: www.phd.engineering.aau.dk

The application is only to be submitted online by using the “Apply online” button below.

We wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of personal background.

Agreement

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of November 10, 2015 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the Ministry of Finance current circular on the employment structure at Danish Universities.  

Deadline: 4 June 2018
Unit: Department of Civil Engineering
Read the job description and apply online

Post expires on Monday June 4th, 2018

One or more integrated PhD Stipends in The use of new technologies for optimizing freight transport (6-18034)

At the Faculty of Engineering and Science, Department of Civil Engineering one or more integrated PhD stipends are available within the general research programme Civil Engineering. The stipends are open for appointment from 1 September, 2018.

Job description

The PhD student shall contribute to research in collaborative logistics in the freight transport sector. The freight transport sector is currently undergoing a raid transformation. New technologies and new data have provided a number of new opportunities for optimization, which means that both 1Pl, 2Pl, 3Pl, 4Pl and 5Pl are dependent on adopting new technologies for optimization to remain competitive.

A growing discussion in the freight transport literature is the discussion about collaborative logistics, i.e. how logistics companies can optimize their operation by sharing excess capacity and freight. Existing research within collaborative logistics has focused in particular on the development of the technical systems that enable capacity sharing. Recent research, including the large DiRECTLY research project currently running in the Freight Transport Research Group, shows that organizational issues also constitute barriers to collaborative logistics.

The goal of the PhD study is to provide research into organizational barriers for the use of new technologies for optimization in freight transport, and to develop a number of research-based guidelines for implementing collaborative logistics solutions in the freight transport sector, given its specific structure, discourses and sense-making processes.

Applicants are expected to have strong professional skills in the field of organizational theory and business economics, and also experience working with transport research.

It is also an advantage if the applicant have skills in presentation and dissemination.

You may obtain further information from Associate Professor Kristian H. Reinau, Department of Civil Engineering, phone: +45 9940 8338, email: khr@civil.aau.dk  concerning the scientific aspects of the stipend.

The integrated stipend consists of two parts, A and B. During part A you are enrolled simultaneous in the Master’s programme and in the PhD programme. The stipend consists of two SU-PhD Grants per month (SU=The Danish students’ Grant and Loans Scheme). One SU-PhD grant equals DKK 6.090 (2018 level). SU-PhD Grants are paid for a maximum of two years. When the Master’s degree has been obtained, you will be employed for two years as a PhD fellow according to the present collective agreement. Part B has a maximum duration of two years.
 
It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of the Faculty of Engineering and Science, in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed every six months. It is a prerequisite for continuation of salary payment that the previous progress is approved at the time of the evaluation.

The qualifications of the applicant will be assessed by an assessment committee. On the basis of the recommendation of the assessment committee, the Dean of the Faculty of Engineering and Science will make a decision for allocating the stipend.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff, The Faculty of Engineering and Science, email: ld@adm.aau.dk ,  phone: +45 9940 9589.

For more information of The Doctoral School of Engineering and Science: www.phd.engineering.aau.dk

The application is only to be submitted online by using the “Apply online” button below.

The following documents must be enclosed in the application:

Motivated application

  • BSc diploma and grade transcripts from the Master’s programme
  • CV
  • Project description
  • A list of outstanding ECTS points in the Master’s programme (can be attached in the boxes for references or publications).

The following documents are optional:

  • List of publications
  • Publications
  • References

We wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of personal background.

Agreement

Allocation of SU-PhD Grants are according to the Ministerial Order on the State Educational Grant and Loan Scheme part 12, section II. Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of November 10, 2015 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the Ministry of Finance current circular on the employment structure at Danish Universities.  

Deadline: 1 June 2018
Unit: Department of Civil Engineering
Read the job description and apply online

Post expires on Friday June 1st, 2018

Doctoral Candidate Position in Artificial Intelligence

The candidate will join a research project about artificial intelligence applications in manufacturing and construction industries. The candidate is responsible for algorithm development and system prototyping.

Target degree: Doctor of Science (Technology)

Study time: Four years (when studying full-time)

Supervisor: Prof. Yu Xiao (mobilecloud.aalto.fi)

Starting date: September 1st, 2018 or any other mutually agreeable date

Site of Research: Department of Communications and Networking (COMNET), School of Electrical Engineering, Aalto University

Research area: artificial intelligence in manufacturing

Optional topics: wearable cognitive assistance, deep video analytic

The candidate must have a master’s degree (or equivalence) in electrical engineering, computer science, cognitive science or in a related study with excellent results.  The candidate must have a high motivation for research, and enjoy working in an international and cross-disciplinary team.

For the candidate qualified for the current position, an official Aalto University application process for doctoral studies will be accomplished. Hence, before preparing his/her application for the current call a candidate should ensure that the corresponding formal requirements will be fulfilled: https://into.aalto.fi/display/endoctoralelec/Admission+requirements

Skills and qualities required to apply

  • Basic knowledge of computer vision and machine learning
  • excellent programming skills, preferable in multiple languages
  • good written and oral communication skills in English
  • good organization skills
  • rigorous thinking
  • ability to work independently
  • research experience in the field of computer vision or machine learning is considered a plus

Application (in English) should consist of

  • Application letter
  • CV
  • Transcripts of studies
  • Recommendation letter(s) from previous supervisors or employers
  • Proof of English proficiency

The applications for the position are to be submitted through the eRecruitment system (link ‘Apply for this job’ below) no later than June 15, 2018.

Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not applied during the application period.

Further information: Assistant Professor Yu Xiao, yu.xiao@aalto.fi (research related information) and HR Coordinator Katja Korpinurmi katja.korpinurmi@aalto.fi (application process, practical arrangements)

About Aalto University and Finland: Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 20 000 students. Our campuses are located in Espoo and Helsinki, Finland.

As a living and working environment, Finland consistently ranks high in quality-of-life. For more information about living in Finland: http://www.aalto.fi/en/about/careers/international_staff/

Living up to our values: As a community of high ethics we want to assure the highest international standard in research, education and teaching. We expect all our community members to respect Aalto values and follow the ethical principles of fair play and integrity in all our activities and the behaviour that we expect from each other. The Aalto University Code of Conduct is applicable to all Aalto community members and it clarifies the values that guide us.

 

Post expires on Friday June 15th, 2018

PhD scholarship in molecular microbial ecology at the Center for Microbial Secondary Metabolites, CeMiSt

The Center for Microbial Secondary Metabolites, CeMiSt, is one of 10 new Centers of Excellence funded by the Danish National Research Foundation. The Center started 1st of January 2018 and will run for six years with an option for a four-year extension. The Center is based at the Technical University of Denmark and hosted by Department of Biotechnology and Biomedicine (DTU Bioengineering). Three DTU departments and 10 senior faculty participate in the Center and >15 PhD students and postdocs will be hired.
The purpose of CeMiSt is to unravel the biological role of microbial secondary metabolites in natural microbiological communities. The Center is led by Professor Lone Gram.

DTU Bioengineering covers microbial ecology and physiology, industrial biotechnology and biomedicine and health. The department consists of approx. 30 faculty and more than 80 PhD students and postdocs.

We seek a candidate for a three-year Ph.D. scholarship in the area of molecular microbial ecology to study the role of secondary metabolites produced by fluorescent Pseudomonads in microbial soil communities.

Responsibilities and tasks
The purpose of the PhD project is to unravel the role(s) of fluorescent Pseudomonads and their secondary metabolites in the development of microbial soil communities. Although fluorescent Pseudomonads are producers of a variety of secondary metabolites, little is known of how these molecules influence the microbial diversity and functionality within natural microbial communities. In this PhD project, you will:

    Determine the relationship between Pseudomonas populations and their secondary metabolites, and the microbial diversity in soil. This will include analysis of our natural soil sampling sites using both cultivation dependent and molecular culture-independent approaches, as well as establishment of model communities/microcosms in the laboratoryYou will also contribute to our efforts to analyse expression and production of secondary metabolites from Pseudomonas both in situ and in laboratory microcosmsYour research will also aim to determine the effects of secondary metabolite on microbial community development and interactions within laboratory microcosms. This will involve construction of mutants that are either defective in secondary metabolite production or overproduce selected compounds, and construction of genetic tools that enable control of expression and production of secondary metabolites

The PhD project is part of the collaborative effort in the Center for Microbial Secondary Metabolites (CeMiSt) aimed at understanding function of microbial secondary metabolism in situ, and you will have many opportunities to collaborate and interact with PhD students, postdocs, and faculty with expertise in microbial ecology, molecular microbiology, and natural product chemistry.

Qualifications
Candidates should have a master’s degree in engineering or a similar degree with an academic level equivalent to the master’s degree in engineering.

We are looking for a candidate with a solid background in bacteriology and microbial ecology, and an interest in understanding how microbial communities develop. Candidates should preferably have experience with bacterial genetics, molecular microbiology and next generation sequencing.  You are an efficient team worker, have good communication skills, and have a critical approach to formulation and testing of hypotheses. Also, a good sense of humor will be appreciated.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Professor MSO Lars Jelsbak.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor MSO Lars Jelsbak, lj@bio.dtu.dk or +45 4525 6129.

You can read more about DTU Bioengineering at www.bioengineering.dtu.dk and a DTU podcast introduces the Center that is also described at www.cemist.dtu.dk.

Application
Please submit your online application no later than 11 June 2018 (local time). Apply online at www.career.dtu.dk.

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here) 

Candidates may apply prior to ob­tai­ning their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The Center for Microbial Secondary Metabolites aims to establish what effect microbial secondary metabolites have on other microorganisms in their natural environment. We have traditionally perceived them as ‘competition substances’, but in natural environments they are rarely produced in quantities of antibiotic effect. The Center’s hypothesis is that secondary metabolites constitute a network of signal molecules that directly affect gene expression, behaviour, and metabolism of the microorganisms and thus play a decisive role in the composition and function of microbiological societies. We will explore this in an interdisciplinary collaboration with the use of sequence-based, analytical-chemical, molecular, bioinformatic, and classic microbiological methods.

The Department of Biotechnology and Biomedicine (DTU Bioengineering) conducts research, educates future bio-engineers, provides scientific advice and innovate within the areas of microbiology, biochemistry, biotechnology and biomedicine. The research at DTU Bioengineering is at the highest international level and focuses on the societal and scientific challenges within the field. Research is conducted within three main areas: Microbial ecology and physiology, Industrial biotechnology and cell factories, and Biomedicine and health. The department has extensive collaboration with national and international research units and industries. DTU Bioengineering has approx. 160 employees, of which 2/3 is scientific staff. The department is located at DTU Lyngby Campus.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.

Deadline: 11 June 2018
Unit: DTU Bioengineering
Read the job description and apply online

Post expires on Monday June 11th, 2018

Department of Computer Science is looking for a Post doc for the Cryptography and Security group 978747

A post doc position is available in the Cryptography and Security group at Department of Computer Science at Aarhus University.

The postdoc position is part of the SODA and the MPCPRO project. The aim for Soda project is to enable practical privacy-preserving analytics of information from multiple data assets using multi-party computation techniques. The aim of the MPCPRO project is to advance the state of both theory and practice of multiparty computation and tools for its implementation.

The position is for two years and the starting date is expected to be July 1st 2018.

The responsibilities of the successful applicant would include research on the above topics in collaboration with other staff and project partners, along with modest teaching and service tasks.

Educational qualifications:
PhD. Degree/ Post Doc level

The successful candidate should have extensive expertise and research experience in the theory and practice of Multiparty Computation. We are particularly interested in candidates with expertise in protocols based on OT extension and protocols in the preprocessing model.

Information about workplace:
Dept. Of Computer Science was founded in 1968 as part of the Departement of Mathematical Sciences. The department became independent in 1998 and houses a total of 100 employees.

Questions regarding this job offer should be directed to Professor Ivan Damgård ivan@cs.au.dk

Place of work and employment areal:
The place of work is åbogade 34, 8200 Aarhus N and the area of employment is Aarhus University.

Application procedure
Shortlisting is used. This means that after the deadline for applications and with the assistance from the assessment committee chairman, and the appointment committee if necessary, the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants, including the main considerations emphasized during the selection process.

Formalities and salary range

Science and Technology refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.

The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.

Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities. Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.

All interested candidates are encouraged to apply, regardless of their personal background. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.

Aarhus University offers Relocation service to International researchers. You can read more about it here.

Location: Aarhus
Deadline: 7 June 2018
Unit: Department of Computer Science
Read the job description and apply online

Post expires on Thursday June 7th, 2018

PhD fellow in Applied Geometry and Stochastic Analysis

Department of Computer Science (DIKU), Faculty of Science at University of Copenhagen is offering a PhD scholarship in applied geometry and stochastic analysis commencing 1 September 2018 or as soon as possible thereafter.

Description of the scientific environment 

The Image section at DIKU hosts experts in fields including nonlinear statistics, applied differential geometry, shape modelling, image analysis & processing, computer vision, computer simulation, and machine learning. Their work ranges from theoretical analyses, over algorithm development, to solving concrete problems for science, industry, and society. Biomedical imaging is a central application area, including neuroimaging. The section contributes to the theory of image analysis by studying nonlinear statistics, variational problems, and geometry on manifolds and metric spaces. The section conducts core machine learning research, including deep learning, transfer learning, online learning, kernel methods, stochastic optimization, and concentration of measure inequalities. Furthermore, information retrieval methods are considered. For further information, please visit http://www.diku.dk/english/research/imagesection/ 

Project description 

The PhD student will focus on modelling stochastic variation in nonlinear geometries, Lie group theory, and geometric mechanics. The project will have both theoretical focus on construction, existence, and analysis of stochastic processes in nonlinear spaces; applied focus on stochastic shape modelling and statistics of shape; and numerical focus on implementation of simulation and inference algorithms. When disease processes influence the anatomy of organs, e.g. change of brain shape as a result of neurodegenerative disease, the shape variation can be captured from medical scans and analyzed, for example within the Large Deformation Diffemorphic Metric Mapping (LDDMM) framework. The changing shape is here represented by an element of a Riemannian manifold of diffeomorphisms, and statistical analysis of the data is therefore influenced by the curvature of the diffeomorphism manifold. One concrete goal of the project is to develop stochastic models and estimation algorithms for non-linear LDDMM inspired models. The PhD student will be part of the Centre for Stochastic Geometry and Advanced Bioimaging (CSGB, http://csgb.dk).

The applicant must have documented experience in aspects of differential geometry, stochastic analysis, and/or theoretical statistics/machine learning. The project will require computer implementation of the developed numerical algorithms.

Principal supervisor is Associate Professor Stefan Sommer, Department of Computer Science, sommer@di.ku.dk, Direct Phone: +4521179125.

Job description 

The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE are:

  • To manage and carry through your research project
  • Attend PhD courses
  • Write scientific articles and your PhD thesis
  • Teach and disseminate your research
  • To stay at an external research institution for a few months, preferably abroad
  • Work for the department

Formal requirements 

Applicants should hold an MSc degree in Mathematics, Computer Science, Statistics or equivalent MSc education with good results and good English skills. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience.

Terms of employment 

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

The starting salary is currently at a minimum DKK 317.459 including annual supplement (+ pension up to DKK 43.852). Negotiation for salary supplement is possible.

Application Procedure 

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

  • Cover Letter
  • CV
  • Diploma and transcripts of records (BSc and MSc)
  • Other information for consideration, e.g. list of publications (if any),
  • Full contact details (Name, address, telephone & email) of 1-3 professional referees

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is 17 June 2018 23:59 GMT +2. 

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.

The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at the PhD school of Science. You can read more about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.

Job interviews will be in week 31.

Questions 

For specific information about the PhD scholarship, please contact the principal supervisor Associate Professor Stefan Sommer, Department of Computer Science, sommer@di.ku.dk, Direct Phone: +4521179125

General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd.

APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

Deadline: 17 June 2018
Unit: Det Natur- og Biovidenskabelige Fakultet
Campus: Datalogisk Institut
Email:
Phone:
Read the job description and apply online

Post expires on Sunday June 17th, 2018

PhD Scholarship in Ship Motion Dynamics Coupled with Data Analytics

DTU Mechanical Engineering in cooperation with NTNU AMOS – Centre for Autonomous Marine Operations and Systems has an open PhD position in ship motion dynamics coupled with the subfields of estimation theory, and data analytics and communication. The multidisciplinary PhD project will address sea state estimation using a network of heterogeneous sensors, which, on a more specific level, involves network-based sea state estimation using simultaneous data from multiple ships. The PhD study is under the Double Doctorate Degree (cotutelle) agreement between NTNU (Norwegian University of Science and Technology) and DTU (Technical University of Denmark).

Responsibilities and tasks
Safe and efficient operation of marine vessels is key, independent on the actual context; for instance, navigation in rough weather and severe seas, inspection and maintenance of offshore windfarms, and drill operations for oil and gas exploration. The most important (compromising) factor in this regard is the wave system experienced during the operation. It is therefore essential to possess knowledge about the onsite wave system, or generally the sea state, since predictions and analyses of wave-induced loads and responses otherwise cannot be made. And, it should be clear that with the future’s autonomous ship it becomes even more important to have reliable estimates, in real-time, of the onsite sea state; realising that human ‘interference’ and gut feeling – normally securing safe and efficient marine operations – have been taken out of the loop.

The overall objective of this project, and potential future succeeding elaborations, is to study the use of various available means for sea state estimation (SSE). Typical means for SSE include free-floating wave buoys, remote sensing, wave radar measurements, and ship-as-a-wave-buoy, all of which are usually applied on an individual basis. This project should target the use of the (heterogeneous) means by fusing together combinations and/or several of the individual observation platforms in a single combined network. It is anticipated that the project focuses on ship-as-a-wave-buoy as the observation platform. The candidate may find supplementary background information here.

The project and its scientific contents are expected to cover classical ship motion dynamics coupled with data analytics and network theory. The successful candidate will manage to produce results that improve real-time SSE on both a local on-site position and on a more global geographic scale. Furthermore, successful results may depend on the possibility to add (un)certainty measures on the SSE, based on uncertainty modelling and/or weight ratings of estimates from the individual observation platforms. In essence, the project/candidate is responsible for conducting a study that will benefit towards ’Maximized operability and risk management of ships and ocean structures’.

The project will be followed closely by prominent industrial partners of NTNU AMOS, including DNV GL, Statoil, and SINTEF Ocean. The candidate will be in direct contact with the industrial partners, and may likely be doing collaboration-based researchers pursuing a successful project.

Qualifications
The candidate must have a master’s degree in naval architecture, control theory, or mechanical engineering; emphasizing, however, that applicants with a specialization in ship motion dynamics will be prioritized. Besides, it will be to the benefit of the candidate with a good background in signal processing, sensor and information fusion, and estimation theory.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes of DTU and/or NTNU. For information about the general requirements for enrollment and the general planning of the scholarship studies, please see the DTU PhD Guide and NTNU PhD Guide.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Both NTNU and DTU are leading technical universities in northern Europe and benchmark with the best universities in the world in the particular area.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

Workplace
This PhD study is under the Double Doctorate Degree (cotutelle) agreement between NTNU (Norwegian University of Science and Technology) and DTU (Technical University of Denmark).

DTU will be the home institution that will handle all the administrative and financial aspects of the joint education. DTU will enroll the candidate in one of its PhD programmes and nominate the main supervisor. NTNU AMOS will be the host institution and will enroll the candidate in the Marine Technology PhD programme. The candidate must spend a minimum of one year at each of the two institutions.

Employment is expected to be from about October/November 2018, but this will be decided with agreement between the candidate and the group of supervisors.

Further information
Further information may be obtained from Associate Professor Ulrik Dam Nielsen, udn@mek.dtu.dk or telephone +45 4525 1970.

You can read more about DTU Mechanical Engineering on www.mek.dtu.dk/english and about NTNU AMOS on www.ntnu.edu/amos.

ApplicationPlease submit your online application no later than 30 June 2018 (local time). Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, fill in the online application form, and attach all your materials in English in one pdf file. The file must include:

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)Two letters of recommendation from professional referees.

Candidates may apply prior to obtaining their master’s degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. If relevant, kindly include a maximum of two peer-reviewed journal or conference publications.

Details about the working environment
At DTU the present research project will be carried out at the Department of Mechanical Engineering in the maritime group of the Section of Fluid Mechanics, Coastal and Maritime Engineering. The research of the maritime group includes among other topics ship responses in waves and monitoring and decision support systems for ship safety. Work on the former topic has focused on theoretical predictions as well as estimates obtained from measurements, and combinations. Work on the latter topic has elaborated on ‘sensor fusion’ and fault tolerant solutions and approaches.

At NTNU the present research project will be carried out at NTNU AMOS – Centre for Autonomous Marine Operations and Systems. The centre educates and conducts research about methods and techniques which facilitate the assessment and development of technical and operational solutions for Norway’s biggest export industries: oil and gas extraction at sea, ship technology with corresponding equipment industry, fisheries technology and aquaculture technology. The research and education at NTNU AMOS emphasize the development of environmentally friendly and energy-efficient solutions within a number of areas, related to safe and efficient marine operations, including ’Maximized operability and risk management of ships and ocean structures’. This particular area is one of the core areas of NTNU AMOS, and several PhD studies, including this one, will be completed within the topic in the next 3-6 years.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society; and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

NTNU is the largest university in Norway, and it has the main responsibility for higher education in technology in Norway, and it is the country’s premier institution for the education of engineers. The university offers several programmes of professional study and a broad academic curriculum in the natural sciences, social sciences, teacher education, humanities, medicine and health sciences, economics, finance and administration, as well as architecture and the arts.

Deadline: 30 June 2018
Unit: DTU Mechanical Eng
Read the job description and apply online

Post expires on Saturday June 30th, 2018

PhD Position in Plenoptic Modelling and Measurements of Novel Displays

Technical University of Denmark (DTU) has an open PhD position (early-stage researcher) in the H2020 MSCA ITN RealVision project (www.realvision-itn.eu/) at DTU Fotonik. The RealVision Innovative Training Network (ITN) will investigate the problem of capturing, processing and displaying hyper-realistic images with the aim of building the hyper-realistic immersive visual imaging and display systems of the future. 

Description of PhD project
The goal of the project is to establish a complete physical characterization of innovative displays and viewing set-up for quality evaluation and relate this to visual perception.

This project will focus on modelling, and measuring novel displays under specific viewing conditions within a plenoptic framework and characterizing these measures in relation to the human visual system. Gonio-photometer measurements of displays will be developed in order to characterize the displays. The goal is a plenoptic description of display viewing conditions expressed by mathematical models of the physical world. Models of novel display architectures and principles will be established and used for optimizing the quality of the images displayed and used in combination with subjective testing representing human perception. One instance of innovative display technology, multiview imaging shall be investigated, both captured by camera arrays and 360o video. The perceptual descriptions will be used to guide the assessment of displays within the plenoptic space, e.g. full focus views and light field imaging.

The resulting outputs of the PhD project include: 

    Characterization and measurements of displays encompassing HDR, wide colour gamut UHD, and multiview 3D to be used for optimization of display renderingLight field capture of displays for objective evaluation

During the project, the PhD candidate will have close contact with the other RealVision consortium groups, including an extended research stay at CNRS in Paris, France, and at the RealVision partner organisations BBC R&D, England, and McMaster University, Canada.

We offer extensive knowledge of all stages in the visual processing chain, including acquisition, processing, coding, delivery, and display, and the opportunity to achieve a common goal of building the hyper-realistic visual imaging and display systems of the future.

The research and development in RealVision will strive for an extremely high quality, hyper-realistic visual experience.

Qualifications
The candidate should have a master’s degree in electrical, electronics, computer science, telecommunications, mathematical modelling, physics or a similar degree with an academic level equivalent to the master’s degree. A solid background in image or video processing or coding is an asset. We expect the candidate to have good programming skills. Good communication skills in written and spoken English are a must.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.    

Assessment
The assessment of the applicants will be made by Professor Søren Forchhammer in accordance with RealVision recruitment procedures.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. Starting date is autumn 2018.  

The yearly salary before tax will comprise a living allowance of €50,493.96 and a mobility allowance of €7,200.00. An additional allowance of €6,000.00 may be payable but is dependent on individual family circumstances.

You can read more about career paths at DTU here.    

Further information
Further information may be obtained from Professor Søren Forchhammer, Group Leader of Coding and Visual Communication Technology, tel. +45 45253622 and email sofo@fotonik.dtu.dk.  

You can read more about the Department of Photonics Engineering on www.fotonik.dtu.dk/english.

Application
Please submit your online application no later than 24 June 2018 (local time). Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, please open the link “Apply online,” fill in the online application form, and attach all your materials in English in one pdf file. The file must include: 

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master’s degree, but cannot begin before having received it. In addition, candidates must be in the first four years (full-time equivalent research experience) of their research careers and not yet have been awarded a PhD degree.

Due to the mobility requirement of the European Commission for ITN projects, we can only accept PhD candidates that have not been working/living in Denmark for more than a total of 12 months within the last 3 years.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The Department of Photonics Engineering (DTU Fotonik) has 220 employees with competences in optics and communication and is one of the largest centres in the world based on research in photonics. Research is performed within optics, communications, ultra-high speed optical transmission systems, coding for visual communication and photonics.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies. 

Deadline: 24 June 2018
Unit: DTU Fotonik
Read the job description and apply online

Post expires on Sunday June 24th, 2018

PhD scholarship in Error Correction Coding and shaping for Optical Communication

DTU Fotonik has a strong focus on optical communications and coding as well as working within all areas of photonic engineering. We are hereby announcing a PhD position at DTU Fotonik within the topic of information theory and error correction coding and shaping for optical communication. This project is part of collaboration between DTU Fotonik and the Institute for Communications Engineering (LNT) at the Technical University of Munich (TUM) within the EuroTech Alliance. Starting date is in summer/autumn 2018.

Project description
We are looking for a candidate to work on error correction coding and shaping for optical communication. The subject of this project is efficient coding techniques for high-speed optical communication. The focus will be on forward error-correction (FEC), as well as the combination of FEC with (probabilistic) shaping. The solutions should be efficient both in terms of performance and complexity.

Coding and signal processing techniques for fiber are necessary to achieve the highest data rates. Practical aspects such as implementation complexity and energy consumption play a central role in the choice of algorithms. In the project, advanced coding shall be designed and developed for specific high-speed optical channels and devices. Novel channel coding schemes shall be explored for advanced optical channels such as regenerative channels. The project involves the interaction and combination of error-correcting coding and pre-coding/shaping.

To achieve fast coding and decoding, the project will study product codes based on hard-decision decoders, extended to include erasures or low-resolution soft decision decoding, as well as combined with shaping. Different structures such as staircase codes, block codes, generalized product codes etc. will be studied and compared, including the analysis of error-floors. Algorithms for fast decoding will be devised, analysed and simulated. Selected codes will be combined with probabilistic shaping.

The PhD project will be associated with the research centre of excellence SPOC at DTU Fotonik and will be in close collaboration with activities within the centre on information theory, capacity and advanced coding. The PhD project will involve both theoretical and experimental studies and joint experiments with other SPOC team members, e.g. experimentally testing the novel coding techniques in the optical communication lab at DTU Fotonik. The project will be part of collaboration with Prof. Gerhard Kramer, LNT, TUM.

Qualifications
Candidates should have a master’s degree in engineering or a similar degree with an academic level equivalent to the master’s degree in engineering. Good communication skills in written and spoken English are a must.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.   

Assessment
The assessment of the applicants will be made by Professor Søren Forchhammer.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here. 

Supervisors and further information
Further information may be obtained from Professor Søren Forchhammer; sofo@fotonik.dtu.dk. 

You can read more about DTU Fotonik on www.fotonik.dtu.dk.  

Application
Please submit your online application no later than 17 June 2018 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 

    A letter motivating the application (cover letter)Curriculum vitaeGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their MSc degree, but cannot begin before having received it.

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Fotonik has 210 employees with competences in optics and is one of the largest centers in the world based solely on research in photonics. Research is performed within optical sensors, lasers, LEDs, photovoltaics, ultra-high speed optical transmission systems, communication technology, bio-photonics, nano-optics and quantum photonics.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.

Deadline: 17 June 2018
Unit: DTU Fotonik
Read the job description and apply online

Post expires on Sunday June 17th, 2018

PhD Project in Neuro-Adaptive Digital Learning

DTU Compute’s Sections for Software and Process Engineering would like to invite applications for a 3-year PhD position starting September 1st 2018. The project is financed through a DTU Alliance PhD stipend together with the University of Queensland (UQ), Australia.

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU – both in terms of our scientific disciplines and our didactic innovation.   

Project Description
The goal of this position is to develop components of a neuro-adaptive learning platform that helps to improve learning outcomes of learners by assessing the cognitive and emotional state of learners in a context-specific manner and by developing an adaptation mechanism. This position is part of a large collaborative project together with the University of Queensland.

Learners’ engagement with digital knowledge artefacts, such as conceptual models, data profiles and visualizations as well as software scripts, is increasing in multi-disciplines like data science, and exasperated by the diversity of student backgrounds entering such areas of study. Adaptive learning platforms are emerging to assist in such scenarios, however current research in adaptive learning does not provide adequate guidance on how learner engagement can be systematically measured so as to enable evidence-based ways of identifying knowledge gaps and facilitating knowledge transfer.

The usage of neuro-physiological methods and tools provides promising perspectives, since it enables the continuous and real time observation of the learner unveiling a learner’s cognitive and emotional processes while engaging in a learning task. For example, measurements of a learner’s cognitive load (e.g., using eye tracking technologies or heart rate variability) can help to pin down the challenges a learner faces in a much more fine-grained and timely manner (real-time versus post-hoc) than existing adaptive learning platforms can. Moreover, existing research emphasizes the importance of motivation and engagement for learning. There is a growing body of knowledge that point at the role of emotions as antecedents of motivation and engagement. The usage of neuro-physiological and psycho-physiological methods and tools has the potential to measure a learner’s emotional processes (e.g., galvanic skin response measures or facial gesture recognition can be used to discover if learners are frustrated or stressed) and to adapt before a learner’s motivation and engagement has dropped.

As part of the project the PhD candidate (supervised by Weber and co-supervised by Bækgaard (DTU) and Sadiq (UQ)) is expected to perform 3 one-year cycles of empirical studies supported by multi-modal data collection (including user interactions and neuro-psychological measurements) to identify a learner’s knowledge gaps and emotional responses. This will help to be better able to identify adaptation points and to refine and focus the learning pathways in the learning platform.

As part of this project the PhD candidate will closely collaborate with the PhD candidate hired at the University of Queensland. A research stay of 6 month at the partner university is planned for the PhD candidates hired both at DTU and UQ resulting into a period of co-location of 12 months.

Requirements
Candidates must have a master degree in computational science and engineering (CSE), digital media engineering (DME), or information systems engineering or equivalent academic qualifications. Preference will be given to candidates who can document experience with conducting empirical studies (in particular using neuro-physiological measurements), software development, and in addition have a background with digital knowledge artefacts such as conceptual models, data profiles and visualizations as well as software scripts. Furthermore, good command of the English language is essential.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.  

Assessment
The assessment of the applicants will be made by Barbara Weber, Shazia Sadiq, and Per Bækgaard.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.  

You can read more about career paths at DTU here.

Further Information
Further information concerning the project can be obtained from the principal supervisor of this project Barbara Weber, +45 9351 1664.

Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson +45 4525 3377.

Application
Applications must be submitted in English as one single PDF, and we must have your online application by 15 June 2018 (local time). Please open the link in the red bar in the top of the page: “apply online” (“ansøg online”).

Applications must include: 

    application (letter of motivation)CVdocumentation of a relevant completed M.Sc. or M. Eng.-degreecourse and grade list of bachelor and master degreesExcel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master’s degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies. 
Deadline: 15 June 2018
Unit: DTU Compute
Read the job description and apply online

Post expires on Friday June 15th, 2018

PhD scholarship in Affective Interaction between New Venture Team Members

DTU, The Technical University of Denmark, Department of Management Engineering invites applicants for a 3-year PhD position on “Affective Interaction between New Venture Team members”, starting ideally on 1 September 2018 or as soon as possible thereafter in 2018. This PhD project will be based in the Innovation, Design and Entrepreneurship (IDE) group in the Technology and Innovation Management (TIM) division and supervised by Associate Professor Philip Cash and Carina Lomberg.

The IDE group focuses on providing cutting edge knowledge and competences based on a wide scope of excellent evidence-based research regarding innovation. We collaborate closely with a range of industry partners, as well as private and public organizations. The IDE group takes multidisciplinary approaches in its research endeavour, standing at the intersection of creativity, innovation, design and entrepreneurship.

The project focuses on understanding the interaction mechanisms underlying performance relevant long-term outcomes in new venture teams, i.e. how a team’s interactions can be used to predict its future success. For this purpose you will conduct a longitudinal panel study with start-up teams. You will analyse the teams using SPAFF coding scheme and follow them intensively for three years. This includes in-depth qualitative measures about the team (e.g. team climate, team potency) and about the business (e.g. business gestation activities, survival, sales and employment growth). This project integrates insights from psychology and entrepreneurship.

Responsibilities and tasks
The project is part of an alliance between DTU, Chalmers (Gothenburg, Sweden) and TUM (Munich, Germany) and will be carried out in collaboration with all three universities.

Your research tasks include theoretical work about affective interaction in new venture teams and between couples. Other tasks include empirical work in start-ups including surveys, interviews and experiments.

The project work requires good understanding of psychological constructs and methods. Experience in SPAFF coding or other coding schemes for affective interactions or marital interactions would be of advantage.

A background in psychology, or entrepreneurship, or an understanding of psychology-related theories with respect to entrepreneurship would be of advantage.

You will be required to: 

    conduct a literature review in new venture team interactionlearn how to code using the SPAFF coding schemeengage with start-ups to collect empirical data on their interactionwrite high-level academic publications on an internationally leading level

Qualifications
Candidates should have a master’s degree in Management, Entrepreneurship, Engineering Management, Innovation Management, Applied Psychology, Cognitive Psychology, Behavioural Psychology, Industrial-Organizational Psychology, Behavioural Science, Psychotherapy or a similar degree with an academic level equivalent to the master’s degree in engineering.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.   

Assessment
The assessment of the applicants will be made by Associate Professor Philip Cash, Assistant Professor Carina Lomberg and Head of Division, Professor Per Dannemand Andersen.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and an academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years.

The position will be based in the Technology and Innovation Management (TIM) division at DTU Management Engineering in Lyngby, just outside Copenhagen, Denmark. You will also engage in regular research visits at Chalmers University of Technology in Gothenburg, Sweden and at Technical University of Munich (TUM) in Munich, Germany.

You can read more about career paths at DTU here.   

Further information
Further information may be obtained from Assistant Professor Carina Lomberg, email: calom@dtu.dk. 

You can read more about the about the TIM division on www.tim.man.dtu.dk/ and the IDE group on www.tim.man.dtu.dk/research/innovation-design-and-entrepreneurship. 

Application
Please submit your online application no later than 31 July 2018 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill in the online application form, and attach all your materials in English in one PDF file. The file must include: 

    A letter motivating the application, including your research activities and ideas for the research project (cover letter, max 2-pages)Curriculum vitaeGrade transcripts and BSc/MSc diploma, certificates, and lists of subjects with your results as well as their official translation into EnglishExcel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)Two reference contacts who may be contacted by the assessment committee

Candidates may apply prior to ob­tai­ning their master’s degree, but cannot begin before having received it. 

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.  

DTU Management Engineering is a department with the overall mission of contributing to research, development, and education within the following scientific areas: Systems Analysis, Management Science, Production and Service Management, Technology and Innovation Management, Transport Modelling, and Quantitative Sustainability Assessment. The candidate will be affiliated with the Innovation, Design and Entrepreneurship (IDE) Group in the Technology and Innovation Management (TIM) Division. DTU Management Engineering has 340 employees; including an academic staff of 190 and more than 70 PhD students. More than 20 % of our employees are from abroad and in all 38 different nationalities are represented at the Department.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.
Deadline: 31 July 2018
Unit: DTU Management Engineering
Read the job description and apply online

Post expires on Tuesday July 31st, 2018

PhD position: Numerical modelling of EOR/IOR processes

The Danish Hydrocarbon Research and Technology Centre (Centre for Oil and Gas – DTU), Technical University of Denmark (DTU), invites applicants for a PhD position on numerical modelling of modified salinity waterflooding in chalk reservoirs. Centre for Oil and Gas – DTU is established by the Danish Underground Consortium and DTU. As part of a national strategy on oil and gas, the research centre is an ambitious, targeted effort to improve recovery of oil and gas from the Danish North Sea.

Responsibilities and tasks
The positions will be an integrated part of the advanced water flooding programme with the focus on improving oil recovery in chalk reservoirs in the Danish part of the North Sea. In this context, the candidate is expected to perform fundamental and applied research on understanding of enhance oil recovery from chalk reservoirs, and upscaling of multiphase flow on scales ranging from the core- to field-scale. For field-scale models, employing reliable macroscopic laws capturing the integral effects of chalk-brine-oil interaction on multiphase flow and reducing the computational complexity of modelling of coupled processes are necessary. To this end, reliable modeling techniques need to be developed and verified to integrate the key coupled processes in the reservoir simulators.

Qualifications

    M.Sc. degree in engineering or other relevant areas;Knowledge of the fundamentals of multiphase flow and transport in porous media;Previous experience with devloping numerical codes for reactive transport models is highly advantageous.A good knowledge of chemistry, applied mathematics,  and geomechanics is very valuable.Ability to work in a multi-disciplinary environment as an independent researcher;Good writing and communication skills in English;

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Dr. Hamid Nick, hamid@dtu.dk

You can read about the scientific basis for the centre’s activities here: www.oilgas.dtu.dk/english/Research

Application procedure
Please submit your online application no later than 4 June 2018.

Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, please open the link “Apply online,” fill in the online application form, and attach all your materials in English in one pdf file. The file must include:

    A letter motivating the application (cover letter) – stating your specific interest, motivation and qualifications for the projectCurriculum vitaeResearch statement and names and addresses of three referencesGrade transcripts and BSc/MSc diplomaExcel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to obtaining their master’s degree, but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The overarching purpose of The Danish Hydrocarbon Research and Technology Centre is to identify new technological and conceptual solutions that will enable increased oil and gas extraction in the Danish section of the North Sea. The research activities at the centre cover selected aspects of expertise: Reservoir characterization, Enhanced Oil & Gas Recovery Processes, Drilling & Production Technology Concepts and Production Facilities, Materials Research & Design. The centre will develop deep, new understanding within these disciplines with a line-of-sight to application. Located at The Technical University of Denmark research groups at the University of Copenhagen, Aarhus University, Aalborg University and the Geological Survey of Greenland and Denmark will be affiliated with the Centre. When fully operational, the centre will employ and engage more than 100 people.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.

Deadline: 4 June 2018
Unit: Centre for Oil and Gas – DTU
Read the job description and apply online

Post expires on Monday June 4th, 2018