Kategoriarkiv: Engineering/it

PhD student in infra informatics Norrköping with special focus on Quantitative Logistics

Norrkoping

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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!

At the Department of Science and Technology, at the university’s Norrköping Campus, we provide education and conduct research in physics and electronics, communications/logistics and media- and information technology. The department is recognised for its work in fields including logistics, visualisation and organic electronics. We combine academic excellence with fruitful collaboration with the Community.
Read more at https://liu.se/en/organisation/liu/itn

LINKÖPING UNIVERSITY
Hereby advertises a position as

PhD student in infra informatics Norrköping with special focus on Quantitative Logistics
formally based at the Department of Science and Technology, Campus Norrköping.

Research area
In the area of Quantitative Logistics, a system analysis perspective and an engineering based methodology is used to analyze, plan, model and simulate logistic problems and other resource management problems in the industry and the society. The research area includes city logistics, air traffic and transportation planning and management, and emergency response and health care logistics. Research often includes cooperation with other research areas within the division Communications and transport systems. This division also includes the units Traffic Systems, Constructions logistics, Mobile telecommunication and Construction engineering.

Duties
As a PhD student you will primarily devote yourself to your research. As a PhD student you are limited to work with education and administration up to 20 percent of full time.

Your research will be conducted within the research project NEtworK Optimization for CarSharing Integration into a Multimodal TRANSportation System (EkoCS-Trans). The overall goal of this project is to support Swedish industry in providing CS solutions that attract a wide customer base (and, hence, lead to a reduced energy consumption), and to enable Swedish authorities to account for growing CS in their strategic urban transport planning. The approach is quantitative and makes strong use of simulation and optimization techniques.

On the simulation side, you will be responsible for integrating a representation of shared vehicles into an existing multi-agent transport simulation for Stockholm. On the optimization side, you will be responsible for solving problems that are mainly related to the planning of car sharing systems, using for example mathematical optimization or geometric algorithms. You will also contribute to the integration of both aspects of your research into a simulation-based optimization approach for the planning of car sharing systems.

Qualifications
Qualified to PhD studentships are only those who are or have been admitted to graduate studies.

  • For this position you must have following requirements:
  • Programming skills in Java or strong programming skills in some other object-oriented language
  • Strong quantitative skills/theoretical/mathematical background, e.g. through a degree in computer science, mathematics, physics, engineering (or willingness to learn)
  • Interest in applying quantitative and computational techniques to real transportation problems
  • Good command of spoken and written English

Desirable skills and traits:

  • Transportation related background (e.g. a degree in (intelligent) transportation systems or the like
  • Knowledge of algorithm design or mathematical optimization
  • Interest in interdisciplinary cooperation
  • Communication and team skills
  • Creativity

Appointment time
The appointment will be until further notice for a maximum of one year at a time. A doctoral student may not be employed during a period exceeding eight years. The total time of appointment must not exceed the equivalent of four years full time research training.

Starting date 
March 1, 2019 or by agreement

Salary
The salary for PhD students is based on the department’s salary scale.

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 February 7, 2019.

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

Equal opportunitiesA majority of our Phd positions within the department 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

Christiane Schmidt

Biträdande universitetslektor

+46 11 363212

christiane.schmidt@liu.se

Magnus Glänneskog

The head of the administration

+46 11363081

magnus.glanneskog@liu.se

Read the job description at the university homepage

Apply

Post expires on Thursday February 7th, 2019

Postdoc in Geomagnetism and Inverse Problems

DTU Space would like to invite applications for aPostdoc position starting in February 2019 on the topic of“Geomagnetism and inverse problems”. The position will be based in theDivision of Geomagnetism whose research focuses on exploring the Earth and itsenvironment using its magnetic field.

 

The Division of Geomagnetism uses satellite magneticdata, for example collected by ESA’s Swarm mission, together with groundobservatory measurements, to monitor changes in the Earth’s magnetic field andto probe the underlying physical processes.  This Postdoc positionfocuses on developing and applying new techniques, based on novel dataprocessing schemes and the methods of inverse theory, to modern and historicalmeasurements of the geomagnetic field.

 Responsibilities and tasks

The aim of this position is to develop, test, andapply schemes for studying the geophysical processes using magnetic data. Thiswill involve using the computational tools of potential field modelling andinverse theory, as well as statistical data analysis. The work will involvewriting, testing and optimizing software and applying this to satellite andground-based magnetic field measurements.

    You will beresponsible for developing and applying new methods for inverting geomagneticdata to characterise geophysical processes of interestYou will apply thedeveloped scheme to magnetic field data collected by ESA’s Swarm satellitesYou will developtools to rigorously appraise inversion resultsYou willrigorously test and optimize the software for use on a high performancecomputational clusterYou will developand test the software, making it available in the form of open source codes tothe scientific communityYou will contributeto research-based teaching and running student projects in Earth and SpacePhysics and Engineering ProgrammeYou will publishdescriptions of the new modelling technique, and the results of its applicationto satellite magnetic data, in the international peer reviewed literatureYou will presentyour research at international conferencesYou willcommunicate effectively with colleagues and be able to work as part of a teamto achieve ambitious goals

An important part of the work will be to collaborateclosely with international partners, in particular in Univ. Edinburgh and theBritish Geological Survey (U.K.), and the Univ. Grenoble (France).

 QualificationsCandidates should have a PhD degree or equivalent. 

For this position, experience with geomagnetic dataand computational solutions to inverse problems, is essential.  In particular

    You must haveexperience working with satellite magnetic field dataYou must befamiliar with the tools of linear inverse theoryYou must befamiliar with spherical harmonic geomagnetic field modellingYou must haveexperience working with ground observatory dataYou must haveworking knowledge of geomagnetic virtual observatoriesYou must haveexpertise programming in Matlab and a willingness to learn PythonYou must haveexperience in code development and testingYou will have aninterest in optimization of codes, especially on how to obtain best performanceon large clusters

Furthermore, weare looking someone who has

    Demonstrated theability to publish at the highest-level in the international peer-reviewedresearch literaturePresentationskills appropriate for communicating research findings at internationalconferencesPassion to work oncomplex, challenging topicsAbility to thriveon collaboration and teamwork

Flexibility and self-motivation are desired skills atDTU, as well as a natural interest in collaboration and personalresponsibility.

 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 an 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. The allowance will beagreed with the relevant union.

 

The period of employment is 2 years. Workplace is DTULyngby Campus, approximately 15 km north of central Copenhagen.

 

You can read more about careerpaths at DTU here.

 Further information

Furtherinformation may be obtained from Prof. C. Finlay, Division ofGeomagnetism, DTU Space, +45 4525 9713.

 You can read more about DTU Space on http://www.space.dtu.dk/English.aspx 

Applicationprocedure:

Please submit your online application no laterthan 22 January 2019 (Local time). 

 

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

    Application (coverletter)CVDiploma (MSc/PhD)List of publications

Applications and enclosures received after thedeadline will not be considered.

 

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

 

The Geomagnetism Department at DTU Space currentlyholds 17 full-time employees (PhD students, postdocs, research assistants,scientists, engineers, administrative personnel) as well as 5-6 M.Sc. students.

 

DTU Space (National Space Institute) is engaged inboth basic research and technology development activities, and the Institute ischaracterized by strong interaction between technology andscience.  DTU space has approximately 150 employees and onaverage 20 ph.d. students, working in diverse research fields fromastrophysics, space instrumentation to earth observation and geodesy. Manyprojects are carried out in close cooperation with international space agencies(ESA, NASA and others), as well as national and international governmentalorganizations.

 

DTU is a technical university providinginternationally leading research, education, innovation and scientificadvice. Our staff of 6,000 advance science and technology to create innovativesolutions that meet the demands of society, and our 11,200 students are beingeducated to address the technological challenges of the future. DTU is anindependent academic university collaborating globally with business, industry,government and public agencies.

Deadline: 22 January 2019
Unit: DTU Space
Read the job description and apply online

Post expires on Tuesday January 22nd, 2019

Doctoral Student position in Deep Learning for Mammography Image Analysis

Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu

Description of the position
Recently, Deep Learning (DL) has become widely popular and shows an enormous potential in revolutionizing the healthcare system in different fields. In this project, we are going to develop a new generation of DL-based diagnostic systems for breast cancer detection using mammography with a validation in a real clinical setting at Oulu University Hospital. We are looking for a talented individual with a strong mathematical and engineering background. The successful candidate will be working in a highly multidisciplinary environment with close contact to the experts in several fields: radiologists, medical physicists as well as machine learning and computer vision experts.

Research environment
The research will be conducted at Research Unit of Medical Imaging, Physics and Technology (MIPT), Faculty of Medicine, University of Oulu, Finland (http://www.mipt-oulu.fi/saarakkala-group/, http://www.mipt-oulu.fi/nieminen_group/). MIPT is an international environment of best national and international experts in medical research: neuroscience, osteoarthritis imaging and diagnosis, and health technologies. Our unit is highly interdisciplinary consisting of specialists from different fields. After acceptance, a doctoral student will be enrolled to University of Oulu Graduate School (UniOGS) doctoral program. The general requirements for admission to the UniOGS can be found at the following web pages: http://www.oulu.fi/uniogs/requirements_for_admission.

Length of the position
The initial contract will be made for two (2) years including a trial period of six (6) months with a possibility of further continuation.

Requirements
We expect high motivation, excellent analytical skills, and ability to achieve the pre-defined goals. The ideal applicant should hold M.Sc. degree in Computer Science, Mathematics, Physics or other technical discipline. If you have completed any of the on-line courses (e.g. on Coursera), please include it to your CV as well. This position requires prior experience in machine learning, data analysis and programming. The applicant should have excellent skills in programming as well as the ability to write efficient code. As a proof of your skills, we will appreciate Kaggle competitions medals, industrial experience and/or scientific experience (if published in high impact forums). Contributions to open-source packages, e.g. scikit-learn, Keras, PyTorch, Tensorflow are also highly valued. Despite the aforementioned requirements, the applicants with degrees in theoretical physics and pure math will also be considered. During the doctoral studies, the successful candidate is expected to publish several contributions in high impact cross-disciplinary journals, such as Scientific Reports, Medical Image Analysis, Radiology and/or computer vision conferences.

Salary
Finland is known as a country with a high quality of life and good healthcare system. The salary of the appointed researcher will be based on the demand level 2-4 chart for the teaching and research staff of Finnish universities. In addition to the basic salary, an additional salary component (not more than 50 % of the basic salary level) will be paid based on personal achievements and performance. The starting salary for a Ph.D. student is approximately 2,300 € per month and it will increase along with the progress of the student. In addition to the salary, the employed person will be insured by the university.

Application process
The application documents should include: 1)    A cover letter describing motivation to pursue a Ph.D and earlier machine learning experience 2)    Curriculum vitae and M.Sc. degree certificates 3)    Full list of peer-reviewed publications in English (if any exist). 4)    Full name and e-mail addresses of 2 referees (referees will be contacted separately). 5)    Links to your GitHub and Kaggle profile if you have those.

Applications, together with all relevant enclosures, must be submitted using the electronic application form by February 15, 2019: Applications sent by email will not be considered.

The starting date: as soon as possible. Contact details: ­­ Direct any questions or correspondence regarding the call to: Mr. Aleksei Tiulpin, Research Unit of Medical Imaging, Physics and Technology Faculty of Medicine University of Oulu, Finland E-mail: aleksei.tiulpin@oulu.fi    

Apply for the job

Post expires on Friday February 15th, 2019

PhD scholarship in Performance Prediction of Optical Communication Systems using Machine Learning

Applications are invited for a 3 year PhD position funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie Innovative Training Network (ITN): ‘WON – Wideband Optical Networks’. The successful applicant will work at DTU Fotonik in the Machine Learning in Photonic Systems group.

WON
is a doctoral-level training network funded by the European Commission under Horizon 2020 Marie Sklodowska-Curie ITN Action. The program will train 14 early-stage researchers (ESRs) in the area of wideband optical networks through collaboration of academic and industrial highly qualified institutions. Solutions identified within WON will enable to overcome a possible traffic-crunch by achieving a 10-fold increase in the usable optical bandwidth of single- mode fibres. WON will train 14 ESRs in three main areas: a) network management and control plane algorithms; b) design, prototyping and test of transceiver and in-line components; and c) digital signal processing and machine learning techniques and system modelling.

Being highly multidisciplinary, WON will cover all topics and expertise from design and development of photonic components, novel digital signal processing and machine learning algorithms and system modelling to network and control management. WON is a doctoral-level training network that will benefit of rich interactions between the academia and industry. ESRs will benefit from a comprehensive training program featuring inter-sectorial and multidisciplinary technical courses, rich transferable skills training and international inter-sectorial secondments with a strong focus on industrial experience. WON ESRs will be capable of leading interdisciplinary research activities with unique expertise on designing physical-layer-aware wideband optical communication networks. In this context, the WON training networks will serve as a European platform for outstanding doctoral training in the field of ultra-high capacity next generation optical networks.

Project description
Due to the different transmission properties across the entire bandwidth and complex interaction of multiple system parameters such as input signal power, number of channels, link type, modulation format, symbol rate, and channel spacing, the prediction of optical communication system performance is a challenging task. In this project, a data-driven approach using a machine learning and artificial intelligence techniques such as Deep Learning and Gaussian processes is proposed for performance prediction of WDM optical communication systems operating across the entire wavelength range from O- to L-band. The investigated models will be developed to complement the physical-layer analytical model for further optimization and in-service network control. The aim is to explore the techniques from machine learning and artificial intelligence to optimize the performance across the entire spectrum in terms of: reach, information rate and energy efficiency.

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. Candidates are expected to have experience with the design of advanced modulation formats and digital receivers for optical communication systems and coherent optical communication systems in general. Moreover the candidate shall have additional skills as: 

  • Experience with digital communication
  • Experience using MATLAB or similar
  • Ability to work independently, to plan and carry out complicated tasks
  • Good communication skills in English, both written and spoken
  • Innovative 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.

Assessment
The assessment of the applicants will be made by Associate Professor Darko Zibar.

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 Associate Professor Darko Zibar, phone: +45 6146 4688, e-mail:dazi@fotonik.dtu.dk.

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

Application
Please submit your online application no later than 15 February 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)
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 Fotonik has 220 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: 15 February 2019
Unit: DTU Fotonik
Read the job description and apply online

Post expires on Friday February 15th, 2019

Postdoc in Deep Learning based Reconstruction for Spectral-CT

KTH Royal Institute of Technology, School of Engineering Sciences

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Job description

The research group in Mathematical Imaging within the Department of Mathematics is offering a two-year postdoctoral fellowship based on a grant from the applied mathematics programme at the Swedish Foundation for Strategic Research.

The position is part of a larger medical imaging project where the overall goal is to develop theory and algorithms for image reconstruction applicable to x-ray based medical imaging with under-sampled and/or highly noisy data. Overall clinical goals are to significantly reduce the total dose of x-rays and/or acquisition time while maintaining a clinically useful image quality, alternatively to significantly improve image quality given a fixed total dose/acquisition time. Imaging modalities involved are 3D spiral/helical computed tomography (CT), 3D spatiotemporal SPECT/CT and PET/CT, C-arm 3D-CT, and spectral-CT. The project also involves applications to x-ray and electron microscopy phase contrast imaging.

The position includes research into theory and development of algorithms that use methods from machine learning for image reconstruction in spectral-CT. The work also includes implementation of algorithms that can be applied to clinical data from stroke and/or oncological imaging. A key element is to design deep neural network architectures for image reconstruction that incorporate an explicit physics model for how data is generated in spectral-CT as well as a statistical characterization of the noise. Another key element is to handle multichannel data and images, especially bearing in mind the limited memory in GPU-hardware. The large-scale nature of the reconstruction problem in spectral-CT coupled with the time-critical nature of some of its clinical applications, requires algorithms that not only execute fast but also minimizes memory footprint. Prototype algorithms will be implemented as software components in ODL (http://github.com/odlgroup/odl) using a suitable deep learning framework, like TensorFlow, as back-end. ODL is a Python-based software framework for numerical functional analysis that the research group in Mathematical Imaging uses for prototyping.

Much of the research will be pursued at MedTechLabs (https://www.medtechlabs.se) and at the Medical Imaging group at the Department of Physics, KTH. The group, which is led by Prof. Mats Danielsson, has developed novel photon-counting silicon strip detectors for clinical CT-scanners that are now entering tests in a clinical setting at MedTechLabs.

This is a unique opportunity to pursue mathematical and algorithmic research to address challenges that arise when photon counting spectral-CT imaging is used in a clinical setting. As a postdoctoral fellow, you will have access to unique clinical data and from one of the first clinical spectral-CT scanners. You will also benefit from the strong research environments at KTH in mathematical sciences and medical imaging physics. Finally, through MedTechLabs you also gain access the essential clinical expertise.

Qualifications

We seek a candidate with a PhD degree in mathematics, signal processing or computational physics/engineering that has been awarded (or planned to be awarded) before the commencement of the position. The candidate should have a strong background from machine learning or signal/image processing, the latter preferably in the context of tomographic image reconstruction. Experience from computational harmonic analysis, functional analysis, and statistical learning is highly beneficial. The candidate should also have experience from software development in scientific computing, preferably using Python and/or C/C++ in the context of machine learning. Finally, a successful applicant must be strongly motivated and have the capability to work independently as well as in collaboration with members of the research group. 

Trade union representatives

You will find contact information to trade union representatives at KTH:s webbpage.

Application

Log into KTH’s recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

Others

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH’s work with quality as well as core values in our organization.

For information about Processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAugust 15, 2019 or according to agreement
SalaryMonthly salary
Number of positions1
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberS-2018-1829
Contact Ozan Öktem, +46 8 790 66 06, ozan@kth.se
Last application date01.Mar.2019 11:59 PM CET

Login and apply

Read the job description at the university homepage

Post expires on Friday March 1st, 2019

Doctoral students Decentralized Data Mining & Information Network Analytics

KTH Royal Institute of Technology

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Project description

Third-cycle subject: Information and Communication Technology

The positions are funded by the European Commission under an ambitious, 4-year, 3.7 million EUR Marie Curie Initial Training Network (ITN) project RAIS (Real-Time Analytics for the Internet of Sports) for which KTH is the coordinator. The project focuses on the design of decentralized, scalable and secure collective awareness platforms for real-time data analytics and machine learning, which preserve end-user privacy and information ownership targeted at the sport applications. The RAIS consortium aspires to establish a fertile multidisciplinary research and innovation community with strong entrepreneurial culture that will advance wearable sport-sensing and quantified-self devices and accompanying middleware.

In particular, the students at KTH will conduct original research in the intersection of the areas of Decentralized Machine Learning, Data Mining, Information Network Analysis as well as work on design and implementation of decentralized systems for the project. The students will have a chance to collaborate and perform secondments at RAIS partner universities and companies in Cyprus, Greece, Italy, Sweden, UK and USA.

The students are expected to contribute actively to the activities planned by the project (scientific publications, taking courses, secondments, participation to meetings and events, preparation of educational material, coordination of work, etc.).

You will be part of the SCS (Software and Communication Systems) department, with your studies supervised by Associate Professor Sarunas Girdzijauskas.    

What we offer

  • The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
  • Life-long network through KTH’s Alumni organization.
  • A personal study plan to support your development within your areas of interest.
  • A workplace with many employee benefits and monthly salary according to KTH’s doctoral student salary agreement.
  • Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.
  • Help to relocate and get settled in Sweden and at KTH.
  • Possibilities of several (up to) 2-month long internships at partner universities and companies in Cyprus, Greece, Italy, Sweden, UK and USA.

Eligibility

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a degree at advanced level,
  • completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
  • in any other way acquired within or outside the country acquired essentially equivalent knowledge.

At the time of recruitment, the applicants must have less than 4 years of full-time research experience after obtaining their degree and must not have resided or carried out their main activity (work, studies, etc.) in Sweden for more than 12 months in the prior three years.

Students in their final year of Master education may also apply and if qualified, receive a conditional offer. If the applicant has not completed her studies, she should include a written statement from the degree administration office (or equivalent department), confirming that she is enrolled on the final year of her education and stating the expected completion date. If the applicant receives a conditional offer, the candidate should present the degree certificate before enrollment.

Selection

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:

  • ability to independently pursue his or hers work,
  • ability to collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.
  • fluency in English (both oral and written).

Target degree: Doctoral degree

Information regarding admission and employment

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Union representatives

You will find contact information for union representatives on KTH’s website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section’s website.

Application

Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Applications must include the following elements:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH’s work with quality as well as core values in our organization.

For information about Processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement
SalaryMonthly salary according to KTH’s doctoral student salary agreement
Number of positions3
Working hours100%
CityKista
CountyStockholms län
CountrySweden
Reference numberJ-2018-2886
Contact Sarunas Girdzijauskas, , sarunasg@kth.se
Last application date01.Mar.2019 11:59 PM CET

Login and apply

Read the job description at the university homepage

Post expires on Friday March 1st, 2019

Postdoctoral researcher in mucus engineering

KTH, School of Engineering Sciences in Chemistry, Biotechnology & Health

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

You will be hosted in the Department of Chemistry, in the division of glycoscience, a dynamic, international, and multidisciplinary research team working in the field of biochemistry, analytical chemistry, enzyme discovery, and biomaterials with an emphasis on carbohydrates.

Job description

We are recruiting a postdoctoral researcher to work on a mucus engineering approach to develop new strategies to treat mucosal dehydration such as dry eye, dry mouth and vaginal dryness. The postdoctoral researcher will build on previous work to prepare and characterize of mucin binding PEG molecules and to test their lubricating effect on model surfaces and explanted tissues.

As a postdoctoral researcher, you are expected to design, conduct and analyze research experiments at high level of quality and autonomy, communicate the research results to the group members and to a wider audience, run multiple projects in parallel, and assist with the in-lab mentoring of master students. The position also involved short stays abroad to collaborator (in particular in the Netherlands) to conduct experiments.

Qualifications

The following knowledge and experiences are preferable for the employment:

  1. Experience with protein and polymer biochemistry
  2. Experience with tribological and rheological techniques
  3. Experience with cell biology techniques including cell culture, cell viability testing, fluorescence microscopy observation of cells

The candidate should show good track record of scientific production and communication. This includes scientific publications, conference presentations, and other activities (reports, outreach activities). The candidate should be able to quickly grasp the project context and aims and be able to propose future avenues of work.

The applicant should hold a PhD, not older than 3 years, in a field of science or engineering and also be or possess:

  1. Good autonomy and capacity for initiative/propositions
  2. Excellent technical skills
  3. Excellent communication skills
  4. Good organizational skills
  5. Broad scientific knowledge and strong scientific culture

Trade union representatives

You will find contact information to trade union representatives at KTH:s webbpage.

Application

Log into KTH’s recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

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Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH’s work with quality as well as core values in our organization.

For information about Processing of personal data in the recruitment process please read here.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employmentTemporary position longer than 6 months
Contract typeFull time
First day of employmentAccording to agreement
SalaryMonthly salary
Number of positions1
Working hours100%
CityStockholm
CountyStockholms län
CountrySweden
Reference numberC-2018-2064
Contact Thomas Crouzier, PhD researcher; , +46 8 7909937, crouzier@kth.se
Last application date17.Feb.2019 11:59 PM CET

Login and apply

Read the job description at the university homepage

Post expires on Sunday February 17th, 2019

Doc­toral Stu­dent to the Spa­ti­otem­poral data analysis research group

The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world.

The Department of Computer Science (https://www.helsinki.fi/en/computer-science), which is part of the Faculty of Science, is a leading Computer Science research and teaching unit in Finland. The research themes of the Department cover machine learning and algorithms, computer networks and distributed systems, software systems and bioinformatics.

The Department of Computer Science, Faculty of Sciences, University of Helsinki invites applications for a

Doctoral Student to the Spatiotemporal data analysis research group

Aim of the project

The Spatiotemporal data analysis research group is looking for a PhD student to develop estimation and machine learning algorithms for pedestrian navigation, and smart sustainable cities, especially for automated traffic. Development of sophisticated algorithms is needed to secure the computation of accurate and reliable navigation solution in challenging environments such as urban canyons and indoors, to detect and mitigate the effects of intentional interference of satellite positioning and to retrieve intelligence from the spatiotemporal data for the development of sustainable cities.

The position is full-time and filled for four years.

Requirements

Applicants are expected to hold a MSc in Computer or Data Science and have a strong background in machine learning, statistics, programming and mathematics. The position requires an ability to work in an environment with English as a working language.

Applicants who do not currently hold a doctoral student status in the Doctoral Programme in Computer Science at the University of Helsinki are also eligible to apply but in the event of hiring they are expected to acquire the status during the standard 6-month probationary period.

How to apply

Please submit as a single pdf file:

• an application letter describing motivation and research interests
• a CV including a list of publications
• two reference letters

Please submit your application using the University of Helsinki Recruitment System via the the Apply for the position button below. Applicants who are employees of the University of Helsinki are requested to leave their application via the SAP HR portal.

The deadline for submitting the application is January 31th, 2019.

Additional information

For more information on the position, please contact Associate Professor Laura Ruotsalainen (laura.ruotsalainen@helsinki).

For more information on the Doctoral Programme in Computer Science (DoCS), please visit https://www.helsinki.fi/en/research/doctoral-education/doctoral-schools-….

Due date

31.01.2019 23:59 EET

Apply for the position

Read the job description at the university homepage

Post expires on Thursday January 31st, 2019

PhD scholarship in Cryogenic MRI Coil Array Development

The Electromagnetic Systems group at the Department of ElectricalEngineering seeks a qualified candidate for a PhD position in cryogenic MRIcoil array development at the Center of Excellence (CoE) in HyperpolarizedMagnetic Resonance (www.hypermag.dtu.dk). The mission of the center is toenable new applications of Magnetic Resonance.

The objective of the PhD project is to improve signal to noise ratio inMagnetic Resonance (MR) systems by implementing low-noise multi-element coilarrays. In order to reduce the noise of the array, the coils and associatedfrontends (matching, tuning, balancing circuits and amplifiers) will be cooleddown to cryogenic temperatures.

Responsibilities and tasks
The main outcome of the project will be a cryogenic human head coilarray technology ready to be implemented in clinical environment. It is across-disciplinary project and a collaboration between Departments at DTU aswell as other national and international institutions.

The tasks and responsibilities include: 

    evaluate different coil array configurations andidentify most promising for the present applicationdevelop efficient coil decoupling strategiesminimizing noise correlation between array elementsdevelop specification and coordinate fabrication ofthe cryostatdesign and implement cryogenic head coil array for 13CMRIcoordinate efforts on mechanical and electrical safetytests and approval for clinical usedisseminate the project results to the public andexchange of knowledge with society.

The applicant may take part in research-based teaching.

It is essential that the candidate contributes to the development of agood work atmosphere and a thriving environment. 

Qualifications
Candidates should hold a two-year MSc (120 ECTS points) or a similar degreewith an academic level equivalent to a two-year MSc, preferably in electricalengineering.

It is an advantage to have experience in 

    High frequency circuit design, fabrication and testingUse of VNAs, spectrum analysers, noise figure metersand other measurement equipment in circuit testingHigh frequency circuit design softwareCryogenic technologyMR technology

The position also requires that: 

    You are driven by pushing boundariesYou are motivated by both individual and teamaccomplishmentsYou thrive on collaboration and teamwork

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

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

You can read more about careerpaths at DTU here.   

Further information
Further information may be obtained from Associate Prof. VitaliyZhurbenko, tel.: +45 4525 3820.

You can read more about the Department of Electrical Engineering and theElectromagnetic Systems group at www.elektro.dtu.dk. 

Application
Please submit your online application no later than 18 February2019 (local time). To apply, please open the link “Apply online”, fill out theonline application form. The following must be attached in English: 

    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 but cannot beginbefore having received it.

Applications and enclosures received after the deadline will not beconsidered.

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

The Department of Electrical Engineering is the central departmentwithin electrical engineering. It is our goal to ensure research andengineering training at the highest international level. The department isorganized into 5 groups each covering important areas of electricalengineering.

DTU is a technical university providing internationally leadingresearch, education, innovation and scientificadvice. Our staff of 6,000 advance science and technology tocreate innovative solutions that meet the demands of society, and our 11,200students are being educated to address the technological challenges of thefuture. DTU is an independent academic university collaborating globally withbusiness, industry, government and public agencies.
Deadline: 18 February 2019
Unit: DTU Electrical Eng
Read the job description and apply online

Post expires on Monday February 18th, 2019

Postdoc in Internet of Things Security and Privacy 1019740

The Department of Engineering, Aarhus University invites applicants for a postdoc position in the field of next generation communications infrastructure enabling IoT, 5G and Industry 4.0. The position is open for 18 months with a possibility for further extension.

The position is available from 1 April 2019 or as soon as possible hereafter.

Job description/research project/research area
The Internet of Things (IoT) fuels a revolution in information technology in which smart applications such as smart homes, smart cities, healthcare, production processes, smart grids, and new space can be realized to digitize industries. Although IoT applications facilitate the digitization process itself, the reliability and privacy of information is still a key challenge.

One way to provide trust in IoT data is through a distributed service trusted by members of a network that guarantees that the data remains immutable. Blockchain technology address this aspect by offering a solution to the data reliability problem. It enables distributed peer-to-peer networks where non-trusting members can interact in a verifiable manner without a trusted intermediary. Blockchain is bringing immutability and creating trustless networks through cryptography. Examples of services that benefit from blockchain include automated workflows, transactions, tamper-free logging, and permissions-based access.

This postdoctoral project addresses the challenges of the providing trustworthy IoT solutions with blockchain. It involves technologies as distributed databases, cryptography, networks, and protocols. Applications include tamper-free logging and data sharing where access to data is incentivized by using cryptocurrency concepts.

The tasks undertaken by the postdoctoral fellow include the following:

  • Selection of a practical and relevant research problems linked to industrial innovation.
  • Construction of models and theories for trustless IoT networks and applications.
  • Implementation of the proposed models to facilitate practical applications of blockchain.
  • Evaluation through experiments and analysis.
  • Contributions to a common project demonstrator.
  • Communication of research results to the scientific community.

The qualified candidate will have the opportunity to participate in teaching and curriculum development relation to the main research topic. The postdoctoral fellowship for position is funded by Innovation Fund Denmark and Aarhus University.

The project includes industrial collaboration with local SME companies. Research activities of the project are linked to the Center for Digitalization, Big Data and Analytics at Aarhus University (AU DIGIT). Experimental activities will be carried out in the Networks and Analytics Laboratory (NANLab) at the Electrical and Computer Engineering section.

Your profile
Applicants should hold a PhD in Electrical Engineering, Computer Engineering, Computer Science or similar.

Required qualifications:

  • Strong analytical skills
  • Programming experience
  • Experience with network security
  • Experience with scientific publication
  • Strong team player
  • Excellent English skills both oral and in writing

About the Electrical and Computer Engineering Section
Electrical and computer engineering are closely related engineering disciplines that focus on the development of hardware and software for intelligent units and networks. This includes hardware at system and component levels as well as many different types of software for controlling electronic devices and networks.

The research areas within the Electrical and Computer Engineering Section at Department of Engineering support the development within this area. The outcome greatly influences our daily lives as advanced technologies are incorporated into an increasing number of products, for example in industrial processes, at hospitals and in information infrastructures.

The Networks and Analytics (NAN) group is focused on research and innovation in next generation computer networks and data analytics aiming at distributed, networked systems that rely on secure and efficient communication.

The place of work is åbogade 34, 8200 Aarhus N, Denmark, and the area of employment is Aarhus University with related departments.

Further information about the position may be obtained from / For further information please contact: Associate professor Rune Hylsberg Jacobsen, phone: +45 4189 3252, email: rhj@eng.au.dk.

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.

Please apply here
Location: Aarhus
Deadline: 1 February 2019
Unit: Department of Engineering
Read the job description and apply online

Post expires on Friday February 1st, 2019

PhD student position in Theoretical Physics: Understanding charge transfer in molecules at surfaces

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The materials and density-functional theory group at MC2, Chalmers, invites applications for a Ph.D. position, Theoretical Physics: Understanding charge transfer in molecules at surfaces.

About the department
The Department of Microtechnology and Nanoscience (MC2) focuses on research, innovation and education in the fields of future electronics, photonics, bio- and nanosystems, with a significant focus on materials. A close collaboration with Swedish and international partners within academia, industry, and society creates a creative environment. In addition to the 200 researchers and Ph.D. students, MC2 houses a cleanroom for micro- and nanofabrication. The Department also houses a leading density functional theory (DFT) activity.

Come help extend the DFT success to organic systems!
We are fellow architects of modern, so-called truly nonlocal DFT calculations. Our van der Waals (vdW) density functional (vdW-DF) method is a computationally efficient formulation of nonlocal DFT that also describes vdW forces. These forces arise, for example, among organic molecules and typically control the structure in organic systems. Traditional DFT is already the workhorse for theory in much of material science and chemistry. The vdW-DF method is opening doors for DFT-based characterization in broader organic chemistry, in nanoscience, in nanotechnology, and for biomaterials.

Guided by condensed-matter theory, we now have a consistent vdW-DF formulation for general-purpose DFT calculations. It works equally well among molecules and in traditional materials and we are set up to study heterogeneous organic systems. This is a huge class of problems of both fundamental and technological importance. For example, we can now engineer the binding at the interface between an organics dye and a semiconducting or metal substrate, a key step in the design of better solar cells.

About the Ph.D. research project
You will help us resolve important remaining challenges for the organics-interface problem. We want to understand not only the material structure but also the electrical contact at the interface. We want to describe the interplay between interface charge transfer and the vdW binding. The project is part of a transatlantic collaboration.

Major responsibilities
The Ph.D. research project involves method development for nonlocal DFT, with an emphasis on improving the description of charge transfer processes in organics. You must learn to use the fortran and python languages as you will implement, code, and test the developments. You will also apply the method progress to study the charge transfer at specific organics-semiconductor/metal interfaces. Finally, you must also complete a set of Ph.D. courses and, when relevant, participate in international collaborations.

Position summary
Full-time temporary employment. The Ph.D. position is limited to 4 year. An extension of up to one year, for teaching, may be possible, if undergraduate teaching is available.

Qualifications
We seek a highly motivated and self-propelled person who has completed a master level in Physics, in Engineering Physics or in Physical Chemistry. Some training in condensed matter physics is a requirement.

You are fluent in oral and written English. You are able to work both independently and as part of a collaborative effort. Prior experience in scripting languages like python is an advantage.

Chalmers offers Swedish courses.

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 20180715 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: 15 February, 2019

For questions, please contact:
Professor Per Hyldgaard, EMSL-MC2
E-mail: hyldgaar@chalmers.se
Phone +46 76 101 0581


   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
   


Read the job description at the university homepage

Apply

Post expires on Friday February 15th, 2019

Postdoctoral position: Electrochemist for evaluating platinum-free fuel cells

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Chemistry and Chemical Engineering is the largest department of 13 at Chalmers with approximately 320 employees, divided into four research divisions. We are situated at campus Johanneberg in the middle of Gothenburg and perform research ranging from fundamental and applied chemistry to chemical engineering of industrial plants. We conduct teaching at the undergraduate, graduate, as well as postgraduate level in these areas.

We tackle global challenges in the areas of health, energy, sustainability and transport by developing new knowledge and enabling technologies in the areas of nano- and materials science and chemical production methods. Our vision is “Through curiosity and knowledge towards a sustainable world”.
Information about the project
In the ongoing transition to a more sustainable society we are active in the development of a new catalyst for hydrogen fuel cells that is free from noble metals. We are now in the process of incorporating this catalyst in large area membrane electrode assemblies and in a full scale fuel cell stack of 1 kW. For this we search for a postdoc with expertise in electrochemical evaluation and modelling of electrochemical data with experience from evaluating individual membrane electrode assembies and fuel cell stacks.

The project is carried out together with the group of Prof. Torbjörn Thiringer, Electrical Engineering, who has expertise in the design of power electronics and in electrical characterization of energy storage systems and the analysis of electric power data under static and dynamic conditions of their operation.

The project will involve collaborations with other group members and is related to our recent papers in Chem. Mater., 25 (2013) 856-861; Fuel cells, 16, (2016), 4-22; Fuel cells, 16, (2016), 23-31; J. Power Sources, 357, (2017), 87-96; J. Phys. Chem. C. 121, (2017), 21827–21835; J. Mater. Chem. A, 6, (2018), 3116-3125.

Major responsibiliy
You will work with electrochemical evaluation of membrane electrode assemblies and fuel cell stacks based on noble metal-free fuel cell catalysts and employ modelling to interpret electrochemical data.

Key parts of the work will be related to
• Rotating disc electrode, single cell fuel cell and fuel cell stack measurements
• Modelling of electrochemical data
• Correlating electrochemical performance with preparation procedures of membrane electrode assemblies

The position also includes collaborating with PhD and MSc students in the two groups and is meritorious for future research duties within academia as well as industry and the public sector.

Position summary
Full-time temporary employment. The position is limited to a maximum of two years (1+1).

Qualifications
To qualify as a postdoc candidate, you must have a PhD level degree in Chemistry or Materials Science or equivalent with a focus on electrochemistry and electrochemical evaluation methods for electrode materials. Hands on experience with electrochemical measurements and modelling of electrochemical data are mandatory. Competence in CFD modelling, structural characterisation methods, colloidal processing, and carbon materials synthesis are meritorius.

Due to the interdisciplinary nature of the work, the candidate is expected to have good collaboration skills and be able to communicate in English, both orally and in writing.

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

Our offer to you
Chalmers 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 20180739 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) including:
• 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:
• Attested copies of completed education, grades and other certificates.

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

Application deadline: 31 January 2019

For questions, please contact:
Anders Palmqvist, Professor, Applied Chemistry, anders.palmqvist@chalmers.se, +46317722961




Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our Areas of Advance; Energy, Information & Communication Technology, Materials Science, Production, Transport, and Nanoscience & Nanotechnology. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
   


Read the job description at the university homepage

Apply

Post expires on Thursday January 31st, 2019

PhD student position in materials science – materials for fuel cells (SOFC)

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Information about the Department of Chemistry and Chemical Engineering
Chemistry and Chemical Engineering is the largest department at Chalmers with research ranging from the most fundamental level to a level close to application in industry and society. The research activities reach from DNA-research and biomaterials to high temperature corrosion, catalysis and recycling. The Department is also committed to teaching at the undergraduate, graduate, as well as postgraduate level in these areas.
Health, natural resources, sustainable energy and materials are some of our lead words and our vision is “Through curiosity and knowledge towards a sustainable world”. We have approximately 300 employees, divided into four research and one administrative division. We are situated at campus Johanneberg in the middle of Gothenburg.

Information about the division
To meet the challenges of tomorrow’s energy demands, the research at the division of Energy & Materials at the Department of Chemistry and Chemical Engineering focuses on solving materials science problems that currently impede the use of new environmentally friendly technologies. We also host the High Temperature Corrosion center, a national center of excellence jointly sponsored by the Swedish Energy Agency, Chalmers University of Technology and around 20 member companies. HTC is known in the field as one of the leading labs worldwide.

Information about the research area
Material performance is one of the key barriers inhibiting the transition towards a more sustainable energy system. Material related problems limit lifetimes and reduce efficiencies, adversely affecting plant economy and consequently the spread of green energy. For our research on metallic materials for Solid Oxide Fuel Cells (SOFC) we have an open position for PhD a student.

Solid Oxide Fuel Cells (SOFCs) are high-temperature (>600°C) electrochemical energy conversion devices that can operate on a broad range of fuels while achieving efficiencies exceeding that of state of the art heat engines. The advancement of the technology has however been hindered by several technical and economic barriers. Many of those barriers are related to the metallic interconnects that connect individual cells. The interconnect must withstand the harsh environment at SOFC operating conditions, possess good electrical conductivity and show good compatibility with other cell components. We investigate the relevant degradation mechanism and work on coatings to increase the lifetime of the interconnects.

Central to our work is the link between well controlled laboratory experiments, advanced microstructural investigations and experience from the field gathered by our industry partners. We work with state of the art analytical electron and ion microscopy such as Scanning Electron Microscopy (SEM) equipped with Energy Dispersive X-ray (EDX) and Electron Backscattered Diffraction (EBSD) detectors. Transmission Electron Microscopy (TEM) and Focused Ion Beam (FIB) milling can also be employed to analyze the specimens in more detail.

Major responsibilities
The research strategy of your project will be defined within the project team consisting of you and your supervisors as well as, presumably, industry partners. Apart from hands-on laboratory work aimed at data collection your tasks might include optimization of experimental setups in collaboration with our mechanical workshop as well as coordination of post-analysis with our analysis experts. A solid knowledge of chemistry or materials science allows you to perform these tasks efficiently. As a PhD student you are expected to present your findings in scientific journals, international conferences and at project meetings with industry partners. Furthermore, the position includes up to 20% departmental work, which mostly implies the teaching of undergraduate students in labs or exercises.

Qualifications
You have a master’s degree (or equivalent) in chemistry or related subjects like materials science, physics or mechanical engineering.

As a person, you show curiosity and feel comfortable to work as part of a team, yet always taking responsibility for your assigned tasks. If you describe yourself as someone who enjoys lab work but also finds pleasure in putting your data into a greater context than you are an excellent candidate in our team. All PhD projects are performed in collaboration with our partner companies, other departments at Chalmers as well as research groups at other universities. This requires a combination of well-developed collaboration skills, the ability to work independently and high analytical capabilities.

The undergraduate courses are normally taught in Swedish, although the graduate level teaching is in English. Thus, applicants who do not have Swedish as their native language should learn Swedish to a level where you can teach students during your PhD employment, free language courses are available.

Our offer to you
Chalmers offers a competitive and international research environment in the dynamic city of Gothenburg located in the heart of Scandinavia. Here, you find a friendly work environment with all the benefits of a Swedish university. We offer an employment with a competitive salary including benefits such as 28 days of financed vacation, parental leave and health insurance. The employment is limited to a maximum of five years. Read more about working at Chalmers and our benefits for employees.

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

Application procedure
The application should be marked with Ref 20180733 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.
• Possibly future goals and research focus.

Other documents:
• Copies of bachelor and/or master’s thesis.
• 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: 20 January, 2019

For questions, please contact:
Jan-Erik Svensson, Chemistry and chemical engineering, jes@chalmers.se, +46 31 772 2863
Jan Froitzheim, Chemistry and chemical engineering, jan.froitzheim@chalmers.se, +46 31-772 28 58

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
   


Read the job description at the university homepage

Apply

Post expires on Sunday January 20th, 2019

Postdoctoral researcher/researcher in mechanical engineering

Ref no: ORU 2.2.1-06739/2018

The School of Science and Technology at Örebro University, is seeking a postdoctoral researcher alternatively a researcher in mechanical engineering for a fixed-term two (2) year appointment.

At the School of Science and Technology, internationally renowned research is pursued in biology, chemistry, mathematics and physics, computer science, and mechanical engineering.

The Division of Mechanical Engineering offers four engineering programmes at the Bachelor’s and Master’s levels in mechanical engineering, and industrial and management engineering. At Örebro University, research in mechanical engineering is pursued within the framework of digitalized development and operation of sustainable products and production systems. Research is pursued in collaboration with world-leading companies such as SAAB, Volvo Cars, IKEA, LKAB, Atlas Copco, Tetra Pak, BillerudKorsnäs, and a number of small and medium-sized enterprises.

Duties and responsibilities

Duties and responsibilities include carrying out research under the leadership of Professor Löfstrand, including industry collaboration, data collection, process availability descriptions related to fault and failure descriptions, and process availability modelling and simulation in the context of reliability modelling. The role will involve developing algorithms and statistical models to predict the presence of faults, degradation and time to failure of assets (i.e. mechanical systems) based on data from sensors and condition monitoring systems.

Degree in Mechanical Engineering or related engineering fields, Mathematics or Computer Science is required. The candidate should ideally have experience in machine learning techniques and statistical data analysis. Knowledge of predictive maintenance and Discrete Event Simulation (DES) is desirable. Proven ability in code development in a programming language such as Java, Python or C# is required.

Eligibility

Eligible for the appointment as postdoctoral researcher are applicants holding a doctoral degree in mechanical engineering or in, given the duties above, related subject areas, for example mathematics or computer science. A PostDoc position is offered if the successful applicants doctoral degree has been awarded no more than three years prior to the application deadline. Candidates who have obtained their doctoral degree prior to that are also invited to apply, the successful applicant will in that case be offered a researcher position.

Assessment criteria

General assessment criteria include good interpersonal skills and an ability to cooperate as well as the ability and suitability otherwise required to perform the duties well. Fluency or near fluency in Swedish are highly valued due to industrial collaboration. Fluency or near fluency in English is desired. Strong competence in activities listed in the duties and responsibilities are required.

Information

The position is a full-time position for a fixed term of two years funded by Örebro University and is aimed at creating a strong research group within mechanical engineering. The salary depends on the successful candidate’s qualifications and experience.

For more information, please contact Professor Magnus Löfstrand, +46 707 959429, Magnus.Lofstrand@oru.se.

Application

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

For the application to be complete, the following electronic documents must be included:

  • Covering letter
  • CV
  • An account of the applicant’s research qualifications
  • Copies of relevant course/degree certificates and references
  • Scientific publications for consideration (maximum of 10)

Only documents written in Swedish, English, Norwegian and Danish can be reviewed.

The application deadline is 2019-02-15. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), Örebro University is required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

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Post expires on Friday February 15th, 2019

Doc­toral Stu­dent for the 5G Edge Com­put­ing En­hanced Aug­men­ted Real­ity pro­ject

The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world.

The Department of Computer Science (https://www.helsinki.fi/en/computer-science), which is part of the Faculty of Science, is a leading Computer Science research and teaching unit in Finland. The research themes of the department cover machine learning and algorithms, computer networks and distributed systems, software systems and bioinformatics.

The Department of Computer Science, Faculty of Sciences, University of Helsinki invites applications for a

Doctoral Student for the 5G Edge Computing Enhanced Augmented Reality project

Background and aim of the project
The 5G Edge Computing Enhanced Augmented Reality project aims at designing platforms and protocols for optimizing Mobile Augmented Reality (MAR) within a 5G infrastructure. MAR traffic is extremely constrained in bandwidth and latency as MAR aims to provide the user with a seamless experience through highly unstable networks. Aiming at minimizing the impact of the network on the overall latency perceived by the user, the research will utilize novel transport protocols and edge computing architectures to accommodate the needs of MAR applications on wireless networks. A student can join our group to address these challenges for the project:

How to minimize the capture-to-display latency experienced by MAR applications at the network, transport and application layers?

How to efficiently utilize the available computation resources in edge computing architecture for MAR, especially when considering the mobility of users?

How to synchronize all elements with different deadlines and constraints?

Funding and requirements
The project in funded by the Academy of Finland. The salary is based on the University of Helsinki salary system. For a doctoral student, the starting salary will be 2200–2700 euros/month, depending on the appointee’s qualifications and experience. The position is full-time and the first contract period can be up to two years (including a 6-month probation period).

Candidates should have a MSc in one of the following fields: computer science, communications, mathematics, statistics or another relevant subject by the time of the start date; proven ability to publish in top conference proceedings and journals; and a clear and well-developed strategy for outstanding future research that has the potential to result in world-leading publications.

How to apply
Please submit your application using the University of Helsinki Recruitment System via the Apply for the position link below. Applicants who are employees of the University of Helsinki are requested to leave their application via the SAP HR portal.

Please attach the following documents as a single pdf file: your CV with publications, an application letter describing your motivation and research interests, as well as two reference letters. The application letter should also contain possible starting dates. The deadline for submitting the application is January 31st, 2019.

Additional information
For more information, please contact Professor Pan Hui by email, pan.hui(at)cs.helsinki.fi

Due date

31.01.2019 23:59 EET

Apply for the position

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Post expires on Thursday January 31st, 2019

Postdoctoral position (2) in Computer Science

The University of Bergen (UiB) is an internationally recognised research university with more than 14,000 students and close to 3,500 employees at six faculties. The university is located in the heart of Bergen. Our main contribution to society is excellent basic research and education across a wide range of disciplines.

Postdoctoral position (2) in Computer Science

At the Department of Informatics there is vacancy for two postdoctoral research fellow positions in Computer Science. The positions are for a fixed term of 4 years.

About the Department

The Department of informatics has seven research groups that deliver research and education at a high international level in algorithms, bioinformatics, information security, machine learning, optimization, programming theory, and visualization. All the groups are successfully co-funded by research grants, among others by the European Research Council (ERC). The department offers state of art education at Bachelor, Master and PhD levels.

About the work tasks

All employees are expected to contribute to excellence through high quality research and teaching. The successful candidate will conduct research within one of the research groups of our department. The successful candidate will spend 25% of the working time to tasks related to teaching, outreach, profiling and recruitment of students. The Faculty of Mathematics and Natural Sciences at the University of Bergen has renewable energy as one of its main research focus areas. We are particularly interested in applicants who have interest and experience in applications of their research in areas related to renewable energy, like offshore wind energy, future transportation systems, or other relevant areas.

Qualifications and personal qualities:

  • Applicant must hold a Norwegian PhD or an equivalent degree in computer science, or must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded.
  • Experience from research and publication within one of the research fields: algorithms, bioinformatics, machine learning, optimization, programming theory, information security and visualization is a requirement.
  • Experience or interest in contributing to research with applications in areas related to renewable energy is an advantage.
  • Experience from teaching is an advantage.
  • Applicants must be able to work independently and in a structured manner, and have the ability to cooperate with others.
  • Applicants must have excellent skills in oral and written English
  • Good command of the Norwegian language is an advantage.
  • Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also count when evaluating the candidates.

About the position of postdoctoral research fellow:

The postdoctoral position is a fixed term position with the primary objective of qualifying the appointee for work in top academic positions. Individuals may not be hired for more than one fixed-term period as a postdoctoral research fellow at the same institution. Upon appointment, applicants must submit a project proposal for the qualifying work including a progress plan. It is a requirement that the planned activities are completed in the course of the period of employment.

We can offer:

  • A good and professionally challenging working environment
  • Salary at pay grade 59 – 65 (code 1352 / pay range 24, alternative 3) according to the state salary scale upon appointment. This constitutes a gross annual salary of NOK 515 200 – 576 100. Further promotions are made according to length of service.
  • Enrolment in the Norwegian Public Service Pension Fund
  • A position in an inclusive workplace (IW)
  • Good welfare benefits

Your application must include:

  • A brief account of the applicant’s research interests and motivation for applying for the position.
  • A brief project description explaining the research questions that the applicant is planning to work on, why these are important, and how one plans to solve them.
  • The names and contact information for two referees. One of these should be the main advisor from the PhD programme.
  • CV
  • Transcripts and diplomas and official confirmation that the doctoral thesis has been submitted
  • Relevant certificates/references
  • List of any works of a scientific nature (publication list)
  • Publications (as applicable) 

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at jobbnorge.no by February 5, 2019.

General information:

For further details about the position, please contact Head of Department, Professor Pinar Heggernes.

The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. Age and gender balance among employees is therefore a goal. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.

We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply.

Upon the expiry of the closing date for applications, an evaluation committee will be appointed. As an applicant, you have a right of access to the committee’s description of your formal and professional qualifications. If you wish to take advantage of this right of access, please contact the executive officer in charge after receiving information about the appointment of the evaluation committee.

The University of Bergen applies the principle of public access to information when recruiting staff for academic positions. Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.

Further information about our employment process can be found here.

Apply for this job

Read the job description at the university homepage

About this job

  • Deadline: Tuesday, February 5, 2019
  • EmployerUniversity of Bergen
  • Website
  • MunicipalityBergen
  • Jobbnorge ID161306
  • Internal ID2018/13184
  • ScopeFulltime
  • DurationFixed Term


Post expires on Tuesday February 5th, 2019

Doctoral Candidate in Millimeter-wave Integrated Circuits and Systems

Application closes on 31.3.2019
Place Department of Electronics and Nanoengineering Position Doctoral Candidate Positions

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 has six schools with nearly 11 000 students and a staff of more than 4000, of which 400 are professors. Our campuses are located in Espoo and Helsinki, Finland.

The School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. The School is an international unit with close to 60 professors and 2 000 full-time students, including over 200 doctoral students.


We are now looking for a talented and highly motivated

Doctoral Candidate in Millimeter-wave Integrated Circuits and Systems

The Electronic Circuit Design unit at the Aalto University invites applications for doctoral candidate positions in millimeter-wave integrated circuits (IC) and systems design. The emerging field of MMICs is developing rapidly, due to developments in IC technology, creating and opening up a lot of new possibilities in the development of 5G broadband communication, including wireless sensors and mm-radars for various commercial, industrial, medical, security and also current environmental applications.

Job description
In this position, you have an opportunity to participate in world class research in millimeter-wave integrated circuits design. You will contribute to in state of the art level, industry driven MMICs research projects for applications in e.g. 5G broadband communication, wireless sensors, mm-radars (commercial, industrial, medical, security, environmental). You will learn to design integrated circuits applying the latest nanometer-scale CMOS and BICMOS technologies (participating in several MPW runs annually). You will have access to world class design and measurement facilities (see e.g. Millilab). Depending on your interest and background, we can offer you a research topic ranging from MMIC design to mixed-mode and digital designs. You will join an active research group, which research is closely linked to our industrial and academic partners. Our target is that you will acquire the doctoral degree in four years.

Requirements
You have a Master’s degree in Electrical Engineering. High average grade as well as excellent grades on courses on electronics are appreciated. You may be a fresh M.Sc, or gained already some design experience in industry. Your background and interests can be in any field of integrated circuit design. We expect you to be open-minded for new research, eager to learn more and fit to teamwork. You need to have some hands-on experience or courses taken on integrated circuit design and tools; please document these activities in your application. In particular, we expect that you have gained some experience on using Cadence tools.

In this position you will apply the study right for doctoral studies in Aalto University. Thus, please check the student information and application criteria. In particular, please pay attention to mandatory skill level in English.
 
Research group
The Electronic Circuit Design (ECD) unit of the Department of Electronics and Nanoengineering at the School of Electrical Engineering at Aalto University is recognized as one of the best in Europe. We have researched RF, analog, and digital integrated circuits already close to thirty years with outstanding outcomes and have a strong network of collaborators and funding. The Electronic Circuit Design group has two professors (Kari Halonen and Jussi Ryynänen), three senior researchers and about 20 doctoral candidates and research assistants working with world class research facilities. Researchers of the unit have received several awards in highly recognized international conferences, and we publish 10-20 papers annually. More information about ECD unit’s research.

Salary and contract terms
The expected starting salary for a doctoral candidate is approximately 2450 €/month and salary will increase with responsibilities and performance over time. The contract includes occupational health benefits and Finland has a comprehensive social security system. The starting time can be negotiated but we prefer you to be able to start in the spring of 2019.

More information
If you wish to hear more about the position, please contact Professor Kari Halonen, firstname.lastname@aalto.fi. In recruitment process relating questions, please contact HR Secretary Isabella Itäpalo, firstname.lastname@aalto.fi.

Ready to apply?
Please submit your application through our recruiting system by using “Apply now!” link below. Please include the following documents in English
• Application letter
• Course transcripts of Master’s studies with grades and Certificate of Master’s degree
• Curriculum Vitae (including list of publications if any)
• Brief description of your research interests
• References

The call is open until March 31, 2019, but we will start reviewing and interviewing candidates immediately. Applications will be considered until the position is filled.

About Aalto University, Campus and Finland
The School of Electrical Engineering is located at the Aalto University Otaniemi campus in the Helsinki metropolitan area, Finland. As a living and work environment, Finland consistently ranks high in quality-of-life. For more information about living in Finland please visit our information pages for international staff.

Interested?

Apply now!


Read the job description at the university homepage

Post expires on Sunday March 31st, 2019

Postdoctoral Researcher in Connected and Automated Vehicles and Smart Mobility

Application closes on 31.1.2019
Place Department of Built Environment
Position Teaching and research positions

Aalto University is an international community of bold thinkers where science and art meet technology and business. Aalto University has six schools with nearly 20 000 people, over 400 of which are professors. Our campuses are located in Espoo and Helsinki, Finland. School of Engineering is an international unit with nearly 70 talented professors and 3400 full-time students, including doctoral students.

Postdoctoral Researcher in Connected and Automated Vehicles and Smart Mobility

We seek highly qualified individuals with enthusiastic attitude towards high-quality research for a Postdoctoral Researcher position, at the Spatial Planning and Transportation Engineering group, School of Engineering. The position should start in early 2019, while the employment contract is typically for 1–2 years, with an option for renewal. The position is intended for full-time work. The research group provides strong support and academic freedom with possibilities for interdisciplinary collaboration, both internationally and within Aalto University.

The candidate must have a high motivation for research, and enjoy working in an international and cross-disciplinary team. The salary level for a postdoctoral researcher is competitive, and depends on experience and qualifications. The contract includes occupational health services, and Finland has a comprehensive social security system. Among European cities, Helsinki is special in being clean, safe, and close to nature, with a high standard of living. English is spoken everywhere. For more information about living in Finland: http://www.aalto.fi/en/about/careers/international_staff/

General research areas

The applicant is expected to conduct research in one or more of the following areas:

  • Traffic management and traffic operations with connected and automated vehicles
  • Evaluation of emerging smart mobility technologies
  • Governance and policy of emerging smart mobility technologies

Requirements and expectations

Background of the applicant should be well-aligned with the proposed research interests and roadmap for personal development. The applicant is expected to:   

  • Participate in proposal preparation
  • Publish in top journals and scientific conferences
  • Organize international scientific events
  • Guide doctoral and masters students
  • If applicable, teach in master’s program

Application

Applicants must have completed a doctoral degree in a related field (applications completing their studies during early 2019 will also be considered). Proficiency in English is mandatory.

To apply, an application must include:

  • Motivation letter with contact information and preferred starting date (max one A4 page)
  • Description of research interests (max three A4 pages)
  • CV including publications and contact information for 2 reference persons (max three A4 pages)
  • Summary of the Doctoral Thesis (max one A4 page)

All material should be submitted in English in a single pdf-file (compiled with an order specified above). The application should be sent through the eRecruitment system (link ‘Apply for this job’ below) by 31 January 2019. Email applications will not be taken into account. Aalto University reserves the right to leave the position open, to extend the application period and to consider candidates who have not applied during the application period.

For additional information, please contact Assistant Professor Milos Mladenovic or Assistant Professor Claudio Roncoli. In recruitment process related questions please contact HR Coordinator Kirsi Kärkkäinen tel. +358 50 591 3981. E-mails: firstname.lastname@aalto.fi.

Interested?

Apply now!


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Post expires on Friday January 25th, 2019

PhD student position in Diamond Electronics

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 Division of Electricity at the Department of Engineering Sciences, Uppsala University conducts research on electromagnetics, power electronics and renewable energy.

Project description: The position is within the field of diamond electronic devices and electronic properties of CVD diamond. Diamond possess extreme material properties and in particular many extreme properties as a semiconductor. It is now possible to manufacture films of high purity single crystalline diamond, which opens up the possibility to utilize these properties in future electronic and spintronic devices.

The attractive material properties of diamond such as high band gap, high carrier mobilities, high thermal conductivity, high breakdown field strength, radiation hardness, etc., make it a very interesting semiconductor material. Recently, diamond has received great attention for applications in spintronics and valleytronics. This is because of the unique quantum mechanical properties of diamond, as well as the presence of defects, e.g. the N-V center, with extremely long spin coherence time.

Diamond is considered to be a unique material for future high power, high frequency, high temperature devices like high-power Schottky diodes, MESFETs etc for applications in power electronics, fast switching transistors and for spintronics. Designs and fabrication techniques different from conventional methods have to be employed to realize electronic devices based on thin film single crystalline chemical vapour deposited (SC-CVD) diamond. Diamond also has a huge potential to be used as detectors in high energy physics, detectors for UV and far UV radiation, radiation sensors for radiotherapy, neutron detectors etc.

Duties:

  • Fabrication and characterization of spin- and valleytronic test devices in diamond using state-of-the-art optical and electrical characterization techniques.
  • Modelling and computer simulations of devices.
  • Material characterization of CVD diamond by standard characterization techniques and improving methods for studying transport processes in diamond.

The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties can also include teaching (in Swedish or English) and other departmental duties (no more than 20%).

PhD positions in Sweden are usually of 4-5 years duration. The student will have the opportunity to attend courses from the graduate curriculum within the fields of Solid state physics, Semiconductor device technology, Material physics, etc. 

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.

Qualifications: We are looking for a strong candidate with a Masters degree in semiconductor physics or material physics with some experience in one or more of:

  • Semiconductor device physics
  • Semiconductor material characterisation
  • Micro/Nano structures & technology

We also require high level of proficiency in English.

Application: Please use the link below. Applications should include a brief description of research interests and relevant experience, a CV, copies of diplomas and certificates, thesis (or a draft thereof) and other relevant documents. The candidates are encouraged to provide letter(s) of recommendation and contact information to reference persons.

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: according to agreement.

Type of position: Full time position.

For further information about the position please contact Professor Jan Isberg, jan.isberg@angstrom.uu.se

Please submit your application by 15 February 2019, UFV-PA 2018/4751.

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 2018/4751

Last application date: 2019-02-15

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Login and apply

Post expires on Friday February 15th, 2019

Doctoral Student to the Spatiotemporal data analysis research group

The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world.

The Department of Computer Science (https://www.helsinki.fi/en/computer-science), which is part of the Faculty of Science, is a leading Computer Science research and teaching unit in Finland. The research themes of the Department cover machine learning and algorithms, computer networks and distributed systems, software systems and bioinformatics.

The Department of Computer Science, Faculty of Sciences, University of Helsinki invites applications for a

Doctoral Student to the Spatiotemporal data analysis research group

Aim of the project

The Spatiotemporal data analysis research group is looking for a PhD student to develop estimation and machine learning algorithms for pedestrian navigation, and smart sustainable cities, especially for automated traffic. Development of sophisticated algorithms is needed to secure the computation of accurate and reliable navigation solution in challenging environments such as urban canyons and indoors, to detect and mitigate the effects of intentional interference of satellite positioning and to retrieve intelligence from the spatiotemporal data for the development of sustainable cities.

The position is full-time and filled for four years.

Requirements

Applicants are expected to hold a MSc in Computer or Data Science and have a strong background in machine learning, statistics, programming and mathematics. The position requires an ability to work in an environment with English as a working language.

Applicants who do not currently hold a doctoral student status in the Doctoral Programme in Computer Science at the University of Helsinki are also eligible to apply but in the event of hiring they are expected to acquire the status during the standard 6-month probationary period.

How to apply

Please submit as a single pdf file:

• an application letter describing motivation and research interests
• a CV including a list of publications
• two reference letters

Please submit your application using the University of Helsinki Recruitment System via the the Apply for the position button below. Applicants who are employees of the University of Helsinki are requested to leave their application via the SAP HR portal.

The deadline for submitting the application is January 31th, 2019.

Additional information

For more information, please contact Associate Professor Laura Ruotsalainen (laura.ruotsalainen@helsinki).

Due date

31.01.2019 23:59 EET


Read the job description at the university homepage


Apply for the positions

Post expires on Thursday January 31st, 2019