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Post expires on Thursday February 28th, 2019

PhD Project in Fog Computing-based Autonomous Systems

11. december 2018Engineering/itDTUW

DTU Compute’s Section for Embedded Systems Engineering, would like to invite applications for a 3-year PhD position starting February 1^st, 2019. The project is financed by a DTU PhD schollarship in collaboration with Norwegian University of Science and Technology (NTNU).

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
Fog Computing (also known as Real-Time Edge Computing) is a logical extension from Cloud Computing towards the edge of the network (where “things”, such as infrastructure and autonomous systems, are located), enabling applications that demand guarantees in safety, security, and real-time behavior. Fog Computing is envisioned to be used in several application areas, such as Smart Cities, Smart Transportation, Smart Energy, automotive, robotics and industrial automation. Future autonomous systems will rely on Fog Computing to deliver the increasing computation and communication needs at high-level of dependability.

The objective of this research project is to develop a Fog Computing platform for the safe and secure deployment of autonomous systems applications, while guaranteeing the non-functional properties, such as real-time behavior, dependability and security. The research will be validated on autonomous system platforms from the automotive area (DTU’s focus) and the maritime area (NTNU’s focus).

Qualifications
Candidates must have a master’s degree (120 ECTS) in Computer Science and/or Engineering, or equivalent academic qualifications. Preference will be given to candidates who can document (i) knowledge of algorithms (especially optimization metaheuristics), (ii) experience with scientific paper writing, and in addition have a very high average grades in their master’s program.

Furthermore, good command of the English language is essential. Since this project is in collaboration with NTNU, the PhD student is expected to enrol in a double-degree program with NTNU, which has additional requirements related to NTNU, including spending a full year at NTNU and fulfilling their degree requirements.

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 Prof. Paul Pop.

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 main workplace will be DTU Lyngby Campus but you are also expected to spend time at Norwegian University of Science and Technology (NTNU).

You can read more about career paths at DTU here.

Further Information
Further information concerning the project can be obtained from Prof. Paul Pop, email: paupo@dtu.dk, phone: +45 4525 3732.

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

Application
Please submit your online application no later than 27 December 2018 (local time). To apply, please open the link “Apply online”, fill out the online application form. The following must be attached in English:

Application (letter of motivation)
CV
Documentation of a relevant completed M.Sc. or M.Eng.-degree
Course and grade list of bachelor and master degrees
Excel 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.

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 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

Deadline: 27 December 2018
Unit: DTU Compute
Read the job description and apply online

Post expires on Thursday December 27th, 2018

PhD Scholarship in Chemical Biology

11. december 2018Engineering/itDTUW

Two 3-year PhD scholarships in chemical biology is available starting February 1st 2019 or shortly thereafter. The projects will be supervised by Assistant Professor Katrine Qvortrup and is funded by the Carlsberg Foundation Distinguished Fellowship Programme. The successful candidate will join a young and ambitious, international research team, which is a part of the Organic and Inorganic Chemistry section at DTU Chemistry.

Research in the Qvortrup group is focused on the use of organic chemistry to solve problems in biology. This includes design and development of new improved drugs, as well as the use of synthetic molecules to systematically investigate the functions of genes, cells and biological pathways in living systems.

Responsibilities and tasks

The PhD projects will explore the field of ‘bioconjugation chemistry’. More specifically, we will design and development new and effective strategies to link a protein with different substrates. As a proof-of-concept, we will demonstrate the use of the novel conjugation strategies for attachment of a linker-drug component to an antibody for synthesis of improved antibody-drug conjugates in cancer treatment.

The work will include the design, synthesis and characterization (NMR, IR and MS) of organic building blocks, as well as synthesis and in-depth structural characterizations of all new bioconjugates. Active dissemination of the obtained results, in scientific articles and through participation in international conferences, is an integral part of the job. Participation in supervision of students will be an integrated part of the job.

Qualifications

The successful candidate should have a Master’s degree in chemistry with a focus on synthetic organic chemistry. The successful candidate should thrive in a highly ambitious research group that aims to establish new research fields. The successful candidate should be highly motivated, eager to seek and share knowledge, able to work independently in a dynamic group environment, and should be confident in planning and carrying out complicated tasks. Good communication skills in both written and spoken English are expected.

The ideal candidate should have a strong background in experimental organic chemistry, including:

Experience with peptide synthesis and purification (preparative HPLC).
Experience with analysis of peptides (NMR, MS, CD)
Experience with handling of biological reagents, including proteins.

Approval and Enrolment

The scholarships for the PhD degree are 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.

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.

The Qvortrup group offers a demanding, exciting, and dynamic work environment.

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 Katrine Qvortrup, e-mail: kaqvo@kemi.dtu.dk, or Head or Organic and Inorganic Chemistry Section, Professor Jens Øllgaard Duus, e-mail: jduus@kemi.dtu.dk

Application

Please submit your online application no later than 25 December 2018 (local time).

To apply, please open the link “Apply online”, fill out the online application form. The following must be attached in English:

A letter motivating the application (cover letter)
Curriculum vitae
Grade transcripts and BSc/MSc diploma
Excel 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.

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 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: 25 December 2018
Unit: DTU Chemistry
Read the job description and apply online

Post expires on Tuesday December 25th, 2018

PhD position in Computer Science

11. december 2018Engineering/itÖrebro UniversityW

Ref no: ORU 2.2.1-05025/2018

The School of Science and Technology at Örebro University offers a fully funded 4 years PhD position in Computer Science starting 1st of January 2019.

The PhD student will be affiliated with the research Centre for Applied Autonomous Sensor Systems (AASS).

Örebro University is a modern and prominent broad-based university with the courage to review and the ability to evolve. Our professional degree programmes are among the best in the country and we endeavour to be an attractive place of work where members of staff feel a sense of pride and satisfaction. 1,300 employees and 17,000 students come to work and study at Örebro University.

The research project will examine the problem of reinforcement learning (RL) in continuous state/action spaces. In particular, the project will aim at integrating techniques from both actor-critic and model-based RL with an inference engine and a knowledge representation framework, populated with automatically acquired knowledge. An embodied AI agent based on this framework will be devised, in order to learn policies for solving challenging mobile manipulation problems. The student is expected to concentrate on the problem of reinforcement learning in continuous action spaces. A particular focus will be using prior information (e.g., robot model) and semantic information (e.g., annotated demonstrations) to speed up and guide the learning process. Research will be performed in close collaboration with a second PhD student at Lund University through mutual visits, joint activities and coordinated supervision

The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program, and a major national initiative for strategically basic research, education and faculty recruitment. The program is initiated and generously funded by the Knut and Alice Wallenberg Foundation (KAW) with 2.6 billion SEK. In addition to this, the program receives support from collaborating industry and from participating universities to form a total budget of 3.5 billion SEK. Major goals are more than 50 new professors and more than 300 new PhDs within AI, Autonomous Systems and Software. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. For more information about the research and other activities conducted within WASP please visit: http://wasp-sweden.org/.

Online information

Information on admission to the programme, application form, the general syllabus for the subject, the Regulations Handbook, and other information can be found on Örebro University’s webpage for research student information: www.oru.se. You can find information about how to apply for admission to doctoral studies below.

For more information on the programme and the post, please contact Todor Stoyanov (todor.stoyanov@oru.se) or Prof. Amy Loutfi +46 19 30 11 16 (amy.loutfi@oru.se).

The programme

The successful candidate is offered a place on the research study programme concluding with the Degree of Doctor (alt Degree of Licentiate). The programme comprises 240 credits, which corresponds to four years of full-time study. Extensions to the study period are granted for instance to compensate for any sick leave and parental leave.

Information on programme content and organisation can be found in the general syllabus for the subject.

Doctoral studentships

The position is offered as a full-time doctoral studentship for the duration of the study programme. Duties such as teaching, administration and research other than the student’s own thesis project may be included, however with no more than 20 per cent of a full-time post. To compensate for time spent on such duties, extensions to the programme length and funding period will be granted. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook. The initial salary for a doctoral studentship is 26.300 SEK per month.

Entry requirements and selection

For admission to research studies, applicants are required to meet general and specific entry requirements. In addition, they shall be considered in other respects to have the ability required to benefit from the programme. For a full account of the entry requirements, refer to the admissions regulations as well as to annex 2 to the general syllabus for the subject.

Applicants meet the general entry requirements for research studies if they

have been awarded a qualification at the Master’s level, or
have satisfied the requirements for courses comprising at least 240 credits (four years) of which at least 60 credits (one year) were awarded at the Master’s level, or
have acquired substantially equivalent knowledge in some other way in Sweden or abroad.

Applicants with credits or qualifications from undergraduate programmes under the previous Swedish higher education system corresponding to these entry requirements are also eligible. The university may permit exemptions from the entry requirements for individual applicants, if there are special grounds.

For applicants to meet the specific entry requirements for research studies in the subject, the following applies engineering degree or master’s degree from computer science or related subject which includes an independent project on the advanced level, in a key area of importance in computer science.

Applicants who have acquired substantially corresponding knowledge, in Sweden or abroad, also meet the specific entry requirements. Applicants with credits or qualifications from undergraduate programmes under the previous Swedish higher education system corresponding to these entry requirements are also eligible.

The assessment whether an applicant has such ability in other respects to benefit from the programme shall be made based on prior courses and programmes taken by the applicant, on other previous activities, as well as on the essays and other independent projects of a scholarly nature that have been submitted by the applicant.

In selecting between applicants, their ability to benefit from the research studies shall be taken into account (see the university’s selection criteria, annex 2 to the general syllabus for the subject). If applicants are found to have equal qualifications, preference will be given to applicants of the underrepresented sex. The term underrepresented sex here refers to if and when the share of either female or male students enrolled on the research study programme in the subject amounts to less than 40 per cent.

Application

The application is made online. Click the button “Apply” to begin the application procedure.

When applying for admission to research studies, always attach the following documents:

The form: Application form for admission to research studies.
Curriculum Vitae (CV).
Proof of completed higher education, if applicable degree certificates.
Copies of relevant course/degree certificates and references verifying eligibility and criteria met.
Independent project (degree project).
Motivation letter.

As a general rule, applications and enclosures should be written in Swedish, Danish, Norwegian or English. Documents written in other languages must be translated into Swedish or English by an authorised translator. A list of authorised translators can be obtained from the Swedish Legal, Financial and Administrative Services Agency (www.kammarkollegiet.se).

When assessing higher education credentials from abroad, Örebro University follows the principles for validation applied by the Swedish Council for Higher Education (UHR). Applicants with higher education qualifications from abroad are recommended to contact UHR (http://www.uhr.se/) to have their qualifications assessed.

An application for admission to the programme is by default also an application for a doctoral studentship.

We welcome your application, marked with the appropriate ref. no., no later than 1st of January 2019.

Apply

Post expires on Tuesday January 1st, 2019

PhD scholarship in Turbulence: Reconsidering the Richardson-Kolmogorov Paradigm towards a Robust Understanding of Turbulence

The Department of Mechanical Engineering (DTU Mekanik) at the Technical University of Denmark (DTU) has an ERC Starting Grant (project acronym: UniEqTURB) sponsored opening for a 3-year PhD position in the area of Experimental and Theoretical turbulence. Within the scope of the project, the student will conduct high-end experiments in collaboration with international world-leading experts (with the possibility of a dual PhD-degree). The student will analyze the data in novel ways to test the validity of the existing theories of turbulence and attempt to synthesize a new theory based on the empirical results. The measurements will be conducted using the latest developments in optical flow diagnostics for turbulence measurements, including Particle Tracking/Image Velocimetry. The ERC grant sponsors two additional PhD students and a PostDoctoral fellow.

The PhD-candidate will perform measurements on round turbulent jets at the smallest relevant scales and/or covering the full field of the jet. The objective is to diagnose the degree of equilibrium of the measured turbulent flow and to create a dynamic model of the jet, respectively.

Responsibilities and tasks
The student will be responsible for the acquisition, processing and analysis of the measurement data and disseminating the results in scientific journal publications. The student may also be involved in improved designs of the experiments, big data management and automation of the experimental setup & measurement equipment.

These activities will all be conducted in collaboration with international partners that will co-advice and support the student in parallel with the main supervision. The student is, however, at the same time expected to be able to work independently and take ownership of, and responsibility towards, the project, to be able to carry out the tasks. The position is likely to involve co-supervision of Master’s-students.

Qualifications
Candidates should have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.

A master’s degree in mechanical engineering, mathematics, (engineering) physics or similar is advantageous.

The PhD-candidate must be able to work as part of a team and support other team members, with the benefit of a team that also supports the candidate, when necessary.

It is required that the candidate can document (e.g. by references) that the candidate is well acquainted with practical lab work and has experience with independent successful laboratory work in general. Experience with optical measurement techniques is a significant advantage.

The candidate must also have a solid mathematical background and interest in developing mathematical skills as a part of the PhD-programme. Relevant courses e.g. in functional analysis and differential geometry will be made available as a part of the PhD study plan as well as informal knowledge sharing within the research group framework.

The candidate must have experience with programming and data analysis and experience with handling large datasets is an advantage, as is experience with automating experimental setups.

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 PhD-candidate will become a member of the DTU Turbulence Research Laboratory and therefore part of a group that works together in synergy with different aspects of turbulence. We strive to work according to the philosophy of lean production and agility.

Possibilities exist for dual degrees between the Technical University of Denmark and École Centrale de Lille who are world-leading in the applied optical measurement techniques.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Clara M. Velte, cmve@dtu.dk or telephone +45 3140 7620 (office hours Danish time).

You can read more about DTU Mechanical Engineering at www.mek.dtu.dk/english and about the section at www.mek.dtu.dk/english/sections/fvm.

More information about École Centrale de Lille at http://ecole.centralelille.fr/ and the Laboratoire de Mécanique des Fluides de Lille (LMFL) http://lml.univ-lille1.fr/

Application
Please submit your online application no later than 14 January 2019 (local time). To apply, please open the link “Apply online”, fill out the online application form. The following must be attached in English:

A letter motivating the application (cover letter)
Curriculum vitae
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
Two letters of recommendation from professional referees (see also specific requirements under “Qualifications”)

Candidates may apply prior to obtaining their master’s 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 Mechanical Engineering covers the fundamental engineering disciplines within Solid mechanics, Fluid mechanics, Coastal and Maritime Engineering, Energy systems and energy conversion, Materials and Surface Engineering, Manufacturing Engineering, Engineering design and Product development. The department has a scientific staff of about 150 persons, 95 PhD students and a technical/administrative support staff of about 80 persons.

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: 14 January 2019
Unit: DTU Mechanical Eng
Read the job description and apply online

Post expires on Monday January 14th, 2019

Postdoc for Application of CFD to Scale-Up of Bioreactors

A postdoctoral position is available in scale-up and design of bioreactors for fermentation processes using Computational Fluid Dynamics (CFD). In fermentation, the scale-up of laboratory bioreactors to production scale is a bottleneck on development of processes due to changes in scale and process dynamics. The rules of thumb commonly applied only provide a starting point for the scale-up strategy. In this respect, the use of computational fluid dynamic (CFD) simulations provides an inexpensive way of obtaining detailed information about fluid flows in tanks of different sizes. Moreover, the simulations are essential for understanding the substrate concentration profiles during fermentation processes.

In this project the multiphasic CFD simulations of bioreactors will be used to collect information on the relation between reactor and impeller design and reactor operation. Structural components of the reactors will be also optimized through topology and shape optimization procedures previously implemented at PROSYS Research Center. In addition, the simulations will also be useful for the development of monitoring strategies.

Qualifications
Candidates should have a PhD degree or equivalent. The ideal candidate should hold a PhD degree in Chemical Engineering, Biotechnology or similar field. The applicant should have:

At least 5 years of work experience with Computational Fluid Dynamics (CFD) modelling tools such as ANSYS CFX®
Previous experience on CFD simulations of biochemical processes and multiphasic flows, e.g. gas-liquid mass transfer
Previous experience on usage of CFD for designing and optimizing biochemical reactors, preferably at different scale (micro, lab, pilot, full-scale)
Previous experience in developing scientific software in MATLAB or a similar language
Good communication skills in English are required

Salary and terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations (AC). The salary will be agreed with the relevant union. The period of employment is 1 year.

You can read more about career paths at DTU here.

Further information
For further information please contact Professor Krist V. Gernaey, kvg@kt.dtu.dk, tel: +45 4525 2970, or Associate Professor Ulrich Krühne, ulkr@kt.dtu.dk, tel: +45 4525 2960.

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

Application procedure
Please submit your online application no later than 26 December 2018 (local time). To apply, please open the link “Apply online”, fill out the online application form. The following must be attached in English:

Application (cover letter)
CV
Diploma (MSc/PhD)
List of publications

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

All interested candidates irrespective of age, gender, disability, race, 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: 26 December 2018
Unit: DTU Chemical Eng.
Read the job description and apply online

Post expires on Wednesday December 26th, 2018

PhD scholarship in Immunoinformatics and Machine Learning

DTU Bioinformatics has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive innovation in human, animal, plant and food science and collaborate with all relevant industries. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop bioinformatics, immuno-informatics, metagenomics and systems biology methods and solutions to the challenge of handling and interpreting large scale and heterogeneous big data. We run projects combining big data and laboratory research via the national supercomputing center (Computerome) and molecular genomics laboratories

A PhD scholarship is available in the Immunoinformatics and Machine-Learning group headed by Professor Morten Nielsen, at the Department of Bio and Health Informatics.

Identification of T and B cell epitopes plays a major role in several biotechnological and clinical tasks and is central to our understanding of the immune system.

When T cells scrutinize the surface of cells for foreign peptides presented in complex with MHC (Major histocompatibility complex) molecules, MHC merely presents a minor proportion of the peptides produced within a cell on the cell surface, and only a minor proportion of these are recognized by T cells. Likewise, antibodies (or B cell receptors) recognize their molecular targets, termed antigens, in a highly specific manner via interactions between their binding site (paratope) and a specific region of the antigen (epitope).

To continue on a successful track of work started more than 15 years ago, we are looking for a highly motivated and talented candidate to carry out a PhD project on “Improved immunoinformatic methods for rational T and B cell epitope discovery”.

The project will focus on further advancing our understanding of the rules associated with the process of MHC antigen presentation and T and B cell receptor recognition of their cognate epitope targets, with the aim of developing improved methods for rational epitope discovery.

Responsibilities and tasks
The PhD student will primarily be:

Investigating the rules of MHC antigen presentation on the cell surface
Investigating the ways T and B cell receptors recognize their cognate epitope targets
Using the knowledge to develop improved methods for rational epitope discovery

The tools used in the project will by focused around conventional and deep neural networks.

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

In addition, you should be able to exhibit the following personal and professional qualifications:

Strong computational skills and experience with Unix/Linux command line environments, as well as Python, Perl, R, C or a comparable scripting language
Background within machine learning, bioinformatics and structural biology
In depth understanding of the basic concepts of the cellular immune system
Strong communication skills in written as well as spoken English
Flexibility and a general positive attitude to changes
Capability of taking personal responsibility for your work and your results

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
An assessment panel will assess the applicants based on both personal and academic qualifications.

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 from March 1st, 2019 or as soon as possible hereafter.

Further information
Further information may be obtained from Professor Morten Nielsen, +45 4525 2425 or by email mniel@bioinformatics.dtu.dk

You can read more about DTU Bioinformatics at www.bioinformatics.dtu.dk/english

Application
Please submit your online application no later than 4 January 2019 (local time).

To apply, please open the link “Apply online”, fill out the online application form. The following must be attached in English:

A letter motivating the application (cover letter)
Curriculum vitae
Grade transcripts and BSc/MSc diploma
Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
Names and contact details of two 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, disability, race, religion or ethnic background are encouraged to apply.

From January 2019, DTU Bioinformatics will cease to exist in its present form, and become part of a new department for Health Technology. With approximately 300 researchers from various departments, DTU Health Technology will be able to offer optimal conditions and facilities for health technology research. The aim is to become an international-class research platform capable of fostering new technology and new solutions that can improve the quality of patient care and public health and well-being.

For further information on the reorganization, please see our website

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 January 2019
Unit: DTU Bioinformatics
Read the job description and apply online

Post expires on Friday January 4th, 2019

Two PhD/Postdoc positions for Experimental investigations of barite scale formation at well conditions

The Danish Hydrocarbon Research and Technology Centre (Centre for Oil and Gas – DTU in collaboration with the Center for Energy Resources Engineering (CERE) at the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), invites applicants for postdoc or PhD positions on barite scale formation at well conditions. The centre for Oil and Gas – DTU is established by the Danish Underground Consortium and DTU. As part of a Danish national strategy on oil and gas, the research centre is an ambitious, targeted effort to extend field life time and improve recovery of oil and gas from the Danish North Sea.

When well integrity is at risk, the recovery Deposits of scale and corrosion are contributing factors for potential loss of well integrity and further, scale build-up causes decrease of well efficiency. EOR schemes may affect the rate of scale precipitation and corrosion, potentially to the point of negating the targeted improvement in recovery factor. Therefore, improved understanding of observed mechanisms and development of testing methods as well as improved modelling tools for predicting and potentially mitigating scale deposit and corrosion is essential for optimal recovery of the remaining reserves. The DHRTC research program and these advertised positions on scale aims to improve the understanding of the complex and coupled chemical mechanisms that govern the deposition of scales (e.g. CaCO₃, BaSO₄, FeCO₃, FeS). The projects will involve work with partner laboratories at DTU and with the team in the fluid characterization and modelling groups at DHRTC.

Responsibilities and tasks

Candidate one will work on a primarily experimental project which will be an integrated part of the scale and corrosion program at the DHRTC. The plan for this project is experimental studies of the kinetics of formation of BaSO₄ and other insoluble scales with focus on nucleation and flow regimes. The project will focus on setting up a flow cell to simulate realistic pipe flow wherein the factors influencing scale build-up can be controlled. Candidate one is expected to work with the team at the Centre for Oil and Gas – DTU to perform innovative, fundamental, and applied research on:

Experimental scale deposition kinetics
Setting up a reaction cell to study scale build up with a novel design to mimic realistic pipe flow
Investigation of scale build-up and the dependence on flow, concentrations and temperature.
Investigation of the effect of crude oil chemistry and composition on the deposition of BaSO₄scale and other scales.

Candidate two is expected to work with the team at Center for Energy Resources Engineering (CERE) to measure BaSO₄ solubility in relevant brines to fill in the gaps between existing data.

Reproduce existing low pressure solubility data for BaSO₄ in water and brines.
Measure BaSO₄ solubility in pure water at temperatures up to 200 °C to establish the correct solubility of BaSO₄ in this temperature range.
Design and build a cell for solubility measurements at pressures up to 500 bar and temperatures up to 200 °C.
Measure BaSO₄ solubility at relevant reservoir conditions. The measurements will be carried out at temperatures, pressures, and compositions similar to reservoir conditions.

Application potential
The line-of-sight application potential of this project is to assist in reaching a better understanding of the conditions that lead to scale build up in North Sea Oil Well conditions.

Qualifications
For the PhD position: Master’s degree in analytical or physical chemistry, chemical engineering or similar.

For the Postdoc position: PhD degree in analytical or physical chemistry, chemical engineering or similar.

Exceptional skills in experimental physical chemistry/chemical engineering;
Experience with fluid dynamics and flow systems;
Experience with and a strong interest in setting up advanced experiments;
Interest in applied research;
Ability to work in a multi-disciplinary environment;
Excellent writing and communication skills in English;

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

Approval and Enrolment of PhD students
The scholarships for the PhD degree are 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.

Salary and terms of employment
The salary and appointment terms of the PhD position are consistent with the current rules for PhD degree students. The period of employment is 3 years.

The appointment terms of the Postdoc will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. Postdoc employment is for a period of two years.

Further information
Further information may be obtained from Senior Researcher Karen Feilberg, klfe@dtu.dk, Associate Professor Kaj Thomsen, kth@kt.dtu.dk, or Associate Professor Philip Loldrup Fosbøl, plf@kt.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 15 January 2019.

To apply, please open the link “Apply online”, fill out the online application form. The following must be attached in English:

Please indicate whether you are applying for the PhD position or the Postdoc position.

The file must include:

Application stating your specific interest, motivation and qualifications for the project.
Curriculum vitae
Research statement and names and addresses of three references
For PhD candidates: Grade transcripts and BSc/MSc diploma. Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
For postdoctoral candidates: Diploma (MSc/PhD) and list of publications

Candidates may apply for the PhD position 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: 15 January 2019
Unit: Centre for Oil and Gas – DTU
Read the job description and apply online

Post expires on Tuesday January 15th, 2019

Postdoc in Immuinformatics and Machine Learning

The Department of Bio and Health Informatics at the Technical Universityof Denmark (DTU Bioinformatics) has its main research and teaching activitiesin bio-medical and bio-technological informatics, metagenomics, epidemiology,integrative systems biology and machine learning. The research at DTUBioinformatics is focused on bioinformatics and computational analyses of largeamounts of data generated within biological, biomedical and biotechnologicaland life sciences area. We strive to gain new knowledge and drive innovation inhuman, animal, plant and food science and collaborate with all relevantindustries. A cornerstone in achieving this is the dedicated effort within DTUBioinformatics to develop bioinformatics, immuno-informatics, metagenomics and systemsbiology methods and solutions to the challenge of handling and interpretinglarge scale and heterogeneous big data. We run projects combining big data andlaboratory research via the national supercomputing center (Computerome) andmolecular genomics laboratories.

The department is seeking a highly motivated and talentedfull-time postdoc for the Immunoinformatics and Machine Learning group headedby Professor Morten Nielsen.

Identification of T and B cell epitopes plays a major role inseveral biotechnological and clinical tasks and is central to our understandingof the immune system.

When T cells scrutinize the surface of cells for foreignpeptides presented in complex with MHC (Major histocompatibility complex)molecules, MHC merely presents a minor proportion of the peptides producedwithin a cell on the cell surface, and only a minor proportion of these arerecognized by T cells. Likewise, antibodies (or B cell receptors) recognizetheir molecular targets, termed antigens, in a highly specific manner viainteractions between their binding site (paratope) and a specific region of theantigen (epitope).

The postdoc project will be focused on further advancing ourunderstanding of the rules associated with the process of MHC antigenpresentation and T and B cell receptor recognition of their cognate epitopetargets with the aim of development of improved methods for rational epitopediscovery.

Responsibilities and tasks

As a postdoctoral fellowyour main task will be on continuing the work on providing our tools forpredicting MHC antigen presentation, and expanding our understanding of therules that define T and B cell receptor recognition of their cognate epitopetargets. The work will be conducted in collaboration with the IEDB.

Qualifications
You hold a PhD degree or equivalent in one or more of thefollowing areas: Bioinformatics, Biology, Engineering, Computer science orrelated fields, and have experience doing research within Bioinformatics.

The successful candidate will moreover exhibit the followingprofessional and personal qualifications:

Strong computational skills and prior experience withUnix/Linux command line environments, as well as either Python, C, Perl or acomparable scripting languageStrong background within machine learning, bioinformaticsand structural biologyIn depth understanding of the basic concepts of thecellular immune systemInterest in engaging in supervision of project studentsCapability of taking personal responsibility for your workand your results Flexibility and a general positive attitude to changes Motivation by both individual and team accomplishmentsStrong communication skills in both written and verbalEnglish

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

Salary and terms of employment
The appointment will be based on the collective agreementwith the Danish Confederation of Professional Associations. The allowance willbe agreed upon with the relevant union.

You can read more about careerpaths at DTU here.

The period of employment is 2 years, starting from March 1st,2019 or as soon as possible hereafter.

Further information
Further information may be obtained from Professor MortenNielsen, +45 4525 2425 or by email mniel@bioinformatics.dtu.dk

You can read more about DTU Bioinformatics at www.bioinformatics.dtu.dk/english

Application procedure
Please submit your online application no later than 4 January2019 (local time).

To apply, please open the link “Apply online”, fill out theonline application form. The following must be attached in English:

Application (cover letter)CVDiploma (MSc/PhD)List of publications List of former teaching and supervision experience

Applications and enclosures received after the deadline willnot be considered.

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

From January 2019, DTU Bioinformatics will cease to exist inits present form, and become part of a new department for Health Technology.With approximately 300 researchers from various departments, DTU HealthTechnology will be able to offer optimal conditions and facilities for healthtechnology research. The aim is to become an international-class researchplatform capable of fostering new technology and new solutions that can improvethe quality of patient care and public health and well-being.

For further information on the reorganization, please see ourwebsite

DTU is a technical university providing internationallyleading research, education, innovation and scientific advice. Our staff of6,000 advance science and technology to create innovative solutions that meetthe demands of society, and our 11,200 students are being educated to addressthe technological challenges of the future. DTU is an independent academicuniversity collaborating globally with business, industry, government andpublic agencies.

Deadline: 4 January 2019
Unit: DTU Bioinformatics
Read the job description and apply online

Post expires on Friday January 4th, 2019

PhD student position in Multiscale Segmentation & Modeling of NCF Material

9. december 2018Engineering/itChalmers University of TechnologyW

The main competencies at the department of Industrial and Materials Science are found in the areas of: Human-Technology Interaction | Form and Function | Modeling and Simulation | Product Development | Material | Production and in the interaction between these areas. The research develops the industrial process, from need to finished product while creating added value. To combine skills throughout the whole chain distinguishes the department both nationally and internationally. Here we gather internationally prominent researchers, in dynamic and outstanding research environments, as well as in national and international research networks.

http://www.chalmers.se/en/departments/ims/

Information about the research
Due to high specific stiffness and strength, and good fatigue properties, fibre composites are increasingly replacing metals in structural applications. Particularly within the aerospace, automotive, and wind turbine industry, fibre reinforced plastics are commonly used. In the design of wind turbine blades, almost purely uni-directional (UD) fibre composites (all the fibres are aligned in one direction) are used for the main spars which carry the gravitational and aerodynamics loads on the blade. These fibre composites are made from non-crimp fabrics (NCFs) that have a fibre bundle structure and are stitched to a thin supporting off-axis bundles layer in order keep them aligned during manufacturing and handling. During the 20-30 years of life, a wind turbine blade experiences fatigue loads in the range of 50-500 million cycles because of the continuous rotation in addition to variation in the aerodynamic loading. The three key material parameters designing wind turbine blades are the axial stiffness, the compression strength and the fatigue resistance of the load carrying laminates. In order to improve those properties, detailed knowledge of the architecture of the reinforcement, i.e. the fibre, bundle and non-crimp fabric, as well as damage initiation and subsequent damage evolution is essential. Here, the stiffness and the compression strength are mainly governed by the fibre misalignment of the uni-directional fibres while the fatigue performance of the uniform laminates are controlled by the secondary oriented backing bundles as well as local fibre arrangement in the load carrying bundles. Even though the backing bundles are only introduced for handling and manufacturing reasons, it has been shown [1], that cross-over backing bundles with the load carrying uni-directional bundles are a key initiation point for progressive tensile fatigue failure.

In order to analyze, understand and improve NCF based composites, non-destructive testing methods can be used that rely on X-ray computational tomography. Development of case-specific automatically segmentation tools are required to fully utilize these methods. In [2] a segmentation algorithm for segment the fibre architecture inside the fibre bundles has been developed. In addition, tools for segmenting the three-dimensional bundle structures and the fatigue damage are required to achieve the full potential of the 3-D x-ray tomography data. Tools which are in the progress of been developed by DTU Compute. Based on those tools, a multi-scale finite element model will be developed with the purpose of predicting the mechanical performance of existing as well new suggested non-crimp fabrics. Thereby, it is expected to be able to improve the stiffness, the compression strength as well as the fatigue performance with the end goal of being able to produce lighter or longer wind turbine blades and thereby decrease the cost of energy of wind power.

A multi-scale segmentation of the bundle and fibre structure will be developed where the fibre segmentation inside the bundle structure will focus on the transverse and axial fibre arrangement as well as the resulting fatigue damage evolution. Based on the segmentation of the 3-D bundle structures from a large field of view x-ray CT scan and a segmentation of the microstructural fibre/matrix architecture of a zoomed field of view scans inside the bundles, a multi-scale finite element will be built as sketched in reference [3]. The finite element model will be based on x-ray scans performed at several regions in order to confirm their representability of the structure. By analysing volumes at the fibre scale, relevant parameters will be extracted and input into the homogenized bundle structure. During the applied PhD-project, a 3-D finite element model of an x-ray based bundle structure will be developed where the mechanical properties of the bundle material will be based on micromechanical models of the physical fibre/matrix structure. The micromechanical model will be used in order to understand the failure mechanism in addition to making it possible to predict the effect of change of the fibre and bundle architecture on the stiffness, compression strength and fatigue given lifetime.

[1] K.M. Jespersen, J. Zangenberg, T. Lowe, P.J. Withers, and L.P. Mikkelsen, “Fatigue damage assessment of uni-directional non-crimp fabric reinforced polyester composite using X-ray computed tomography,” Compos. Sci. Technol., vol. 136, pp. 94–103, 2016.

[2] M.J. Emerson, K.M. Jespersen, A.B. Dahl, K. Conradsen, and L.P. Mikkelsen, “Individual fibre segmentation from 3D X-ray computed tomography to study the misalignment in unidirectional composite materials,” Compos. Part A Appl. Sci. Manuf., no. Accepted with minor revision, 2016.

[3] B.J. Blinzler, D. Wilhelmsson, L.E. Asp, K.M. Jespersen, L.P. Mikkelsen, “A systematic approach to transforming composite 3D images into meso-scale computational models,” in proceedings of the 18th European Conference on Composite Materials (ECCM-18), 2018.

Major responsibilities
The person filling this position will participate in research as outlined above and will be conducting mainly computational modeling. During the study, the PhD student will be expected to develop skills in the following:

– Micromechanical modeling of the composite microstructure to be used as a sub model in the multi-scale method
– Multi-scale modeling of the global composite test samples with an iterative link to the microstructure via micromechanical modeling
– Techniques of transfer segmented structures in to a multiscale finite element model of a composite on both the non-crimp fabric (3-D bundle structure) level as well as on the sub-bundle (fibre/matrix) level

Segmentation of damage: In order to quantify the 3-D initiation and evolution of fatigue damage, algorithms and software for segments will be explored.

– Segmentation tool of the micro- and meso-structure on the fibre and bundle level: The fibre architecture inside the bundles as well as the 3D bundle structure of the non-crimp fabric need to be segmented for analysis and quantification and later modeling. Used together with mechanical testing, relevant quantification element will be identified.

– X-ray tomography of polymer-based fibre reinforced polymers, including using in-situ stress rigs in order to improving the visibility of fatigue damage.

Position summary
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
• Residency 18 of the last 36 months must be outside Sweden. (Marie Sklodowska-Curie Project Requirement).

We are looking for a candidate to work on image analysis and development of virtural experimentation methods for polymer matrix composite (PMC) materials. The candidate is expected to have a Master’s degree (or equivalent) in Mechanical Engineering, Aerospace Engineering, Civil Engineering or similar, with a strong background in mechanics and structures. Excellent problem-solving skills, team-work skills, presentation skills, and fluency in English (both oral and written) are required. Experience from Python, Abaqus, and other simulation software is meritorious.

You should be a quality conscious individual who is positive and motivated, independently directed with dedication and persistence, and strong collaboration skills. Please exemplify in your application, if possible, situations or circumstances where these personal skills have been evident.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to youChalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.

Application procedure
The application should be marked with Ref 20180640 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
• 1-2 pages where you introduce yourself and present your qualifications.

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 6 January, 2019

For questions, please contact:
Prof. Leif Asp, Department of Industrial and Materials Science
Division of Material and Computational Mechanics
leif.asp@chalmers.se, +46 31 772 15 43

Asst. Prof. Brina Blinzler, Department of Industrial and Materials Science
Division of Material and Computational Mechanics
brina.blinzler@chalmers.se, +46 31 772 63 36

Read the job description at the university homepage

Read the job description at the university homepage

Post expires on Sunday January 6th, 2019

PhD student position in Systems Engineering Design

9. december 2018Engineering/itChalmers University of TechnologyW

Information about the research
The project seeks to understand and develop computer supported techniques to assess how a product and its platform are impacted when integrating alternative new technologies and designs. Ultimately, the methods and tools developed seek to enable more flexible designs through well informed design decision. The project is conducted in close collaboration with Volvo Group and Volvo Cars.

The Systems Engineering Design Group, one of three research groups at the division of Product Development, and part of the Wingquist Laboratory focus our research on design and development of complex products in close collaboration with industrial partners, nationally and internationally. Topics include development methodologies such as Set Based Concurrent Engineering and Knowledge Engineering, development of methods and tools for technology integration and assessment in complex products. The resesearch group is led by Professor Ola Isaksson and has presently 7 full time senior staff (2 professors) and 9 PhD students. The research team addresses highly interdisciplinary challenges and is well established both scientifically and industrially, with several industrial PhD students and associates senior researchers.

Major responsibilities
As a PhD student you will learn, and develop new methods and tools for modeling and assessing impact of new technologies onto the product and production platforms onto system behavior. The methods and tools are a part of building next generation digital design and engineering capabilities for product development, enabling more flexible design and integration of new technologies. You will work in research projects together with our academic and industrial partners (Volvo Group and Volvo Cars). As a PhD student, 20% of the position include teaching duties.

Position summary
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
The successful candidate for this position has the following qualifications:
• A Masters degree corresponding to at least 240 higher education credits in mechanical engineering, automation, applied physics or engineering mathematics.
• Interest in applied, industrial, product development, along with a strong interest in modelling, simulation and computational methods and tools.
• Good written and oral communication skills in English is required, and in Swedish meriting.

We believe that you as a person is curious and open for interdisciplinary challenges, collaborative oriented both with academic and industrial colleauges, and a passion to combine theory and practice.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to youChalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.

Application procedure
The application should be marked with Ref 20180649 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
• 1-3 pages where you introduce yourself and present your qualifications.
• Previous research fields and main research results.
• Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 31 December, 2018

For questions, please contact:
Professor Ola Isaksson, Division of Product Development
ola.isaksson@chalmers.se, +46-31 7728202

Read the job description at the university homepage

Post expires on Monday December 31st, 2018

Postdoc with the Division of Automatic Control within Optimization at the Department of Electrical Engineering

8. december 2018Engineering/itLinkôping UniversityW

Ref LiU-2018-03323

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees due to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The department of Electrical Engineering (ISY) is central to the engineering education at the Institute of Technology, one of four faculties at Linköping University, and this regards both basic and applied knowledge. The research is based on industrial needs, and ranges from basic research to direct application in collaboration projects.
Read more at https://liu.se/en/organisation/liu/isy

LINKÖPING UNIVERSITY
Hereby advertises a position as

Postdoc in Automatic Control
formally based at the Department of Electrical Engineering

Duties
The optimization group within the Division of Automatic Control at the Department of Electrical Engineering is seeking a post-doctoral fellow that would like to be engaged in cutting edge interdisciplinary control research involving optimization and learning with applications to autonomous systems. The research activity will focus on development of autonomous optimization, i.e. to learn optimal optimization algorithms for optimization problems relevant to autonomous systems. This work will be carried out in collaboration with The Royal Institute of Technology in Stockholm. The project is an Expedition Project funded by WASP, http://wasp-sweden.org/ There are no teaching duties involved.

Qualifications
A Ph.D. degree (or close to completion) in Systems and Control, Applied Mathematics, or related field is required. Ideal candidates must have a strong background in Systems Theory, Automatic Control, Optimization and Statistical Learning. Excellent interpersonal, written, and oral communication skills and ability to write peer reviewed papers with limited supervision are important. The candidate must have the ability to collaborate with a multidisciplinary team of scientists and industry. Experience of developing efficient computer code is required.

The position requires a doctorate or an equivalent degree from a foreign university. The doctorate shall have been obtained no longer than three years before the expiration date of the application.

Appointment time
A Postdoc is appointed until further notice, but for no longer than two years. The appointment can be renewed if there are special reasons.

Starting date
By agreement.

Salary
The University applies individual salary scales adapted to the experience of the employee and to the labour market.

Union representatives
For contact with union representatives see below.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest January 31.

Applications and documents received after the date above will not be considered.

Equal opportunities
A majority of our postdoc´s within the Department of Electrical Engineering are men, which is why precedence will be given to women, in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact person

Anders Hansson

Professor

+46 13 281681

anders.g.hansson@liu.se

Lina Florvik

HR-partner

+46 13 281925

lina.florvik@liu.se

Ref LiU-2018-03323S

Post expires on Thursday January 31st, 2019

PhD position for the development of organic electrode materials for environmentally friendly rechargeable batteries

8. december 2018Engineering/itUppsala UniversityW

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 42,000 students, 7,000 employees and a turnover of SEK 6.7 billion.

The position is at the Department of Engineering, Div. of Nanotechnology and Functional Materials, Ångström Laboratory.

Duties/Project description: At the Div. of Nanotechnology and Functional Materials we are developing materials for use in rechargeable batteries which are built up of organic compounds in order to provide an alternative to existing battery technologies that are associated with low CO2 footprints.

The project is being carried out in close collaboration with the Organic Synthetic Chemistry group at the Department of Chemistry at BMC. The base of the electrode material consists of a conductive polymer and our strategy for obtaining competitive electrode material is to substitute the monomers of which the polymer is made up with high-capacity redox-active compounds. This position includes organic synthesis, polymerization of existing and developed compounds, electrochemical and spectroscopic characterization of polymeric electrode materials, and construction of battery prototypes. The work includes active participation in developing new materials and designing new target structures for organic synthesis.

Admission requirements: A person meets the general admission requirements for third-cycle courses and study programmes if he or she:

has been awarded a second-cycle qualification, or has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

Qualification requirements: To qualify for this position you should have a Master in chemistry or equivalent and have the ambition to specialize in experimental research aiming at the development of polymeric materials for battery applications. Proven practical experience in electrochemical methods and/or organic synthesis is also required. Knowledge in general organic synthesis, reaction kinetics, electron transfer theory, polymer chemistry and spectroscopy (UV-Vis, IR) are meritorious, which is also basic knowledge in computational chemistry.

Good communication skills and interest in working in a multidisciplinary research environment towards common goals is of great importance as well as an in-depth interest in understanding the processes that take place in polymeric battery materials.

You should be highly focused, structured and highly motivated and able to work independently as well as in team. Good collaborative ability is a requirement and previous experience of working in collaborative projects is desirable. You must have very good knowledge in English (verbally and in writing).

Application: The application should contain a brief description of the research interests and relevant experience, CV, publication list, copies of diplomas and grades, thesis work (or a draft thereof) and other relevant documents. We would like you to provide reference information or attach a letter of recommendation. For application, please use the link below.

Rules governing Ph.D. candidates are set out in the Higher Education Ordinance Chapter 5, §§ 1-7 and in Uppsala university’s rules and guidelines http://regler.uu.se/search/?hits=30&languageId=1&search-language_en=English

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

Salary: According to local agreement for PhD students and teaching assistants.

Starting date: As soon as possible, temporary position four years.

Type of position: Full time position.

For further information about the position please contact Prof. Martin Sjödin, e-mail martin.sjodin@angstrom.uu.se, phone 018-4717330.

Please submit your application by 31 January 2019, UFV-PA 2018/4379.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.

We decline offers of recruitment and advertising help. We only accept the application the way described in the advertisement.

Placement: Department of Engineering Sciences

Type of employment: Full time , Temporary position longer than 6 months

Pay: Fixed salary

Number of positions: 1

Working hours: 100 %

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: Per Sundman, Saco-rådet 018-471 1485
Suzanne Borén Andersson, TCO/ST 018-471 6251
Ellena Papaioannou, Seko 018-471 3315

Number of reference: UFV-PA 2018/4379

Last application date: 2019-01-31

Read the job description at the university homepage

Login and apply

Post expires on Thursday January 31st, 2019

PhD scholarship in Experimental Nonlinear Optics in Gas-Filled Hollow-Core Fibers

The Fiber Sensors & Supercontinuum Group at DTU Fotonik, Departmentof Photonics Engineering at the Technical University of Denmark is seeking ahighly motivated and talented PhD candidate in the field of ultrafast nonlinearoptics using gas-filled hollow-core antiresonant fibers.

This Ph.D. project is entitled “Experimental nonlinear optics ingas-filled hollow-core fibers” and it is part of the project “UVSUPER:Ultra-Violet supercontinuum sources and pulsed lasers for the semiconductorindustry” funded by Innovation Fund of Denmark. The main goal of the currentproject is the demonstration of a stand-alone deep ultraviolet supecontinuumsource covering the 200 nm – 1600 nm region using gas-filled hollow-coreantiresonant fibers. The project is in collaboration with Denmark’s NationalMetrology Institute (DFM) and NKT Photonics A/S.

The PhD fellow will be part of the project UVSUPER and his/herresponsibility will be to develop a stand-alone deep ultraviolet supercontinuumsource. In particular he/she should be responsible to:

Characterize and evaluate different hollow-core antiresonant fibers for the deep-UV supercontinuum sourceUse a high-power femtosecond source to pump the gas-filled fibers and report efficient deep-UV laser at 200 nm wavelength.Develop a full stand-alone deep-UV source system for semiconductor inspection.

Responsibilities and tasks
The PhD fellow will be part of the project UVSUPER and his/her responsibilitywill be to develop a stand-alone deep ultraviolet supercontinuum source. Inparticular he/she should be responsible to:

Qualifications
Candidates should have a two-year master’s degree (120 ECTS points) or asimilar degree with an academic level equivalent to a two-year master’s degree.

In particular, candidates are required to have:

a Master’s degree or a very good first degree in Physics, Engineering or Material Sciencetrack record within the areas of fiber modeling using COMSOL and MatlabExperimental knowledge of fibre optics and waveguides, nonlinear optics and laser physics.

At the time of recruitment by the host organization, candidates must bein the first four years (full-time equivalent research experience) of theirresearch careers, and have not been awarded a doctoral degree.

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

Assessment
The assessment of the applicants will be made by Associate ProfessorChristos Markos and Professor Ole Bang.

Salary and appointment terms
The appointment will be based on the collective agreement with theDanish Confederation of Professional Associations. The allowance will be agreedupon with the relevant union. The period of employment is 3 years. Startingdate is 1 April 2019 or as soon as possible hereafter.

The workplace DTU Fotonik, Ørsteds Plads, Building 343 Lyngby Campus.

Further information
Further information may be obtained from Main supervisor, Professor OleBang, phone: +45 45 25 63 73, email: oban@fotonik.dtu.dkor Co-supervisor, Associate Professor Christos Markos, phone: +45 45 25 63 87,email: chmar@fotonik.dtu.dk.

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

Application
Please submit your online application no later than 1 March 2019 (local time). To apply, please open the link “Applyonline”, fill out the online application form. The following must be attached in English:

Candidates may apply prior to obtaining their master’s degree butcannot begin before having received it.

Applications and enclosures received after the deadline will not beconsidered.

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

DTU Fotonik has 220 employees with competences in optics and is one ofthe 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 andquantum photonics.

DTU is a technical university providing internationally leadingresearch, education, innovation and scientific advice. Our staff of 6,000advance science and technology to create innovative solutions that meet thedemands of society, and our 11,200 students are being educated to address thetechnological challenges of the future. DTU is an independent academicuniversity collaborating globally with business, industry, government andpublic agencies.
Deadline: 1 March 2019
Unit: DTU Fotonik
Read the job description and apply online

Post expires on Friday March 1st, 2019

PhD Project in Theory of Nature-Inspired Algorithms

DTU Compute’s Section for Algorithms, Logic and Graphs (AlgoLoG) wouldlike to invite applications for a 3-year PhD position starting April 1, 2019.The project is financed by the Independent Research Fund Denmark (DFF), NaturalSciences.

Project Description
The project contributes to the running time analysis of nature-inspiredalgorithms, a relatively young research area at the interface betweentheoretical computer science and artificial intelligence. The main aim of theproject is to analyse the running time and to derive provably efficientparameter settings, including self-adjusting parameter schemes, forevolutionary algorithms in discrete search spaces. Such results are obtainedusing techniques from the analysis of randomized algorithms, probability theoryand computational complexity.

Requirements
Candidates must have a two-year master’s degree (120 ECTS) in computerscience, applied mathematics or related academic qualifications (or a similardegree with an academic level equivalent to a two-year master’s degree).Preference will be given to candidates who can document a strong background inthe theory of randomized algorithms or of nature-inspired algorithms.Furthermore, a good command of the English language is essential.

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

Assessment
The assessment of the applicants will be made by: Associate ProfessorCarsten Witt and Associate Professor, Head of Section Paul Fischer.

We offer
DTU is a leadingtechnical university globally recognized for the excellence of its research,education, innovation and scientific advice. We offer a rewarding andchallenging job in an international environment. We strive for academicexcellence in an environment characterized by collegial respect and academicfreedom tempered by responsibility.

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

Further Information
Further information concerning the project can be obtained from CarstenWitt, cawi@dtu.dk.

Further information concerning the application is available at the DTUCompute PhD homepage or bycontacting PhD coordinator LeneMatthisson +45 4525 3377.

Application
Please submit your online application no later than 20 January 2019 (local time). To apply, please open the link “Apply online”, fill out theonline application form. The following must be attached in English:

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 butcannot begin before having received it.

Applications and enclosures received after the deadline will not beconsidered.

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

DTU Compute has a total staff of 400 including 100 faculty members and130 Ph.D. students. We offer introductory courses in mathematics, statistics,and computer science to all engineering programmes at DTU and specialisedcourses to the mathematics, computer science, and other programmes. We offercontinuing education courses and scientific advice within our researchdisciplines, and provide a portfolio of innovation activities for students andemployees.

DTU is atechnical university providing internationally leading research, education,innovation and scientificadvice. Our staff of6,000 advance science and technology to create innovative solutions that meetthe demands of society, and our 11,200 students are being educated to addressthe technological challenges of the future. DTU is an independent academicuniversity collaborating globally with business, industry, government andpublic agencies.
Deadline: 20 January 2019
Unit: DTU Compute
Read the job description and apply online

Post expires on Sunday January 20th, 2019

PhD scholarship in Discovery, Engineering, and Application of Transport Systems via Adaptive Laboratory Evolution

The Adaptive Laboratory Evolution (ALE) Groupharnesses the power of biology to self-optimize under selective pressures andapplies this concept to obtain strains with useful industrial and appliedphenotypes.

The goal of the ALE Group is to utilize laboratoryevolution in the design and build phase of the strain construction process, aswell as to uncover key unknowns in relevant microbial species, efficiently todiscover and generate what is not possible with other approaches.

Responsibilities and tasks

The PhD candidate will (i) perform Adaptive LaboratoryEvolution (ALE) studies using E. coli and other production organisms on anautomated platform on various metabolites and environments, (ii) performwhole-genome resequencing of evolved strains and analyze the causality ofconfirmed mutations, (iii) characterize evolved and engineered mutant strainsof interest phenotypically in a bench-top shake-flask and bioreactorenvironment, and (iv) report the findings and outcomes in peer-reviewedpublications and patent applications with the goal of uncovering unknowntransporters and their physiological and bioprocessing importance. Thesuccessful candidate is a talented, highly skilled, and self-motivating personwho enjoys working in an international and interdisciplinary environment.Excellent bacterial culture techniques and analytical skills are essential. Aphysics or engineering background is highly desirable. Furthermore, previousexperience with automated biotechnology platforms is required. Proficient commandin oral and written English communication is a prerequisite.

Qualifications
Candidates should have a two-year master’s degree (120ECTS points) or a similar degree with an academic level equivalent to atwo-year master’s degree.

Candidates master’s degree should be in engineering ora similar field.

Approval and Enrolment

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

Assessment

The assessment of the applicants will be made bySenior Researcher Adam Feist (DTU Biosustain) and Professor Markus Herrgård(DTU Biosustain)

We offer

DTU is a leading technical university globallyrecognized for the excellence of its research, education, innovation andscientific advice. We offer a rewarding and challenging job in an internationalenvironment. We strive for academic excellence in an environment characterizedby collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment

The appointment will be based on the collectiveagreement with the Danish Confederation of Professional Associations. Theallowance will be agreed upon with the relevant union. The period of employmentis 3 years.

You can read more about career paths at DTU here.

Further information

Further information may be obtained from Dr. Adam Feist (email: afeist@biosustain.dtu.dk).

Please do not send applications to this e-mailaddress, instead apply online as described below.

You can read more about the Novo Nordisk FoundationCenter for Biosustainability on www.biosustain.dtu.dk.

Application procedure

Please submit your online application no later than the1 January 2019 (local time).

To apply, please open the link “Applyonline”, fill out the online application form. The following must beattached in English:

If relevant, you may add additional documents tothe list above, e.g., a Research Statement

Candidates may apply prior to obtaining their master’s 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 Biosustain is an international research center of excellence developingnext generation cell factories and bioprocesses for sustainable production ofhigh-value chemical compounds as well as protein-based products. The centeruses advanced metabolic engineering techniques and computational biologyensuring efficient and cost-effective design and construction processes.

The center’s activities are a balanced mix of basicand translational research, complemented by an emphasis on business developmentto facilitate commercialization of new cell factories and associatedtechnologies. DTU Biosustain offers state-of-the-art research facilities andassembles world leaders in the field thus offering a unique platform providingexcellent talent development and career opportunities.

Deadline: 1 January 2019
Unit: Center for Biosustainability
Read the job description and apply online

Post expires on Tuesday January 1st, 2019

PhD scholarship in the Near-Field Exploration of Light-Matter Interactions in Two-Dimensional Materials