2 full-time academic position vacancies on Data Science and related topics in ULB, Brussels, Belgium

2 full-time academic position vacancies on Data Science and related topics in ULB, Brussels, Belgium !

All details in:

Faculty of. Sciences:
http://wwwdev.ulb.ac.be/greffe/files/6544.pdf


Faculty of Applied Sciences:

http://wwwdev.ulb.ac.be/greffe/files/6551.pdf




—-----------------------
Pr. Gianluca Bontempi
co-Head of the Machine Learning Group
Département d'Informatique
Université Libre de Bruxelles

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Postdoc at Monash University (Melbourne) for probabilistic & deep learning

An exciting opportunity has opened up within the Faculty of Information Technology for an exceptional Research Fellow to conduct research and develop academic research software for Machine Learning in collaboration with world-class academics in the Machine Learning Group at Monash, under the direction of Prof. Wray Buntine. The aim is to continue development of some of our research artifacts and continue additional related research.

The job advertisement is here:
http://careers.pageuppeople.com/513/cw/en/job/601042/research-fellow

Basic details:
Melbourne is rated as one of the world's most livable cities.
Monash's ML group is very strong with excellent international funding and world reknown researchers.
Exciting innovative research with probabilistic and/or deep learning approaches.
For questions or applications, follow the link.


✔️ @ApplyTime

Postdoc position for recently graduated PhD student

Dear all,

we have a postdoc fellowship available at the German Aerospace Center near Munich, Germany (for one year, with the
possibility of extension to a second year) for recent PhD graduates. This position is focused on the development of machine learning algorithms to analyze particle trajectories, both from our experiment on "complex plasmas" on board the International Space Station, and from simulations. Prior experience in machine learning is advantageous, but not required, provided the applicant can demonstrate strong programming skills and the capability to acquire missing skills.

Here is the announcement of the fellowship:
https://www.daad.de/medien/deutschland/stipendien/formulare/400_postdoc_mp_op_particle_trajectories_postdoc_schwabe_2019.pdf

And this is some general information of the program:
https://www.daad.de/deutschland/stipendium/datenbank/en/21148-scholarship-database/?origin=4&status=4&subjectGrps=&daad=&q=&page=1&detail=50019749

Best regards,
Mierk Schwabe

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PhD project in Prof Hugh Piggins lab (Bristol)

We are looking for a motivated student for a systems neuroscience/physiology PhD project 'Combatting Brain and Body Ageing with Exercise'. The project is funded via the BBSRC SWBIO program and involves Profs. Piggins and Pickering (Bristol) and Drs. Ellacott and Walker (Exeter). The deadline is December the 2nd. Please see the link below for details.



https://cpb-eu-w2.wpmucdn.com/blogs.bristol.ac.uk/dist/f/373/files/2019/10/swbio-20-project-74.pdf



(posted on behalf of Prof Hugh Piggins, University of Bristol)

Prof Mark Humphries | MRC Senior non-Clinical Research Fellow | Chair in Computational Neuroscience

@markdhumphries

Public blog: medium.com/the-spike

✔️ @ApplyTime

#ApplyTime

از زمانی که کانال #اپلای تایم راه‌اندازی شده ‌است، اندکی بیش از 3 سال می‌گذرد! شاید باور کردنش دشوار باشد، ولی در طول این 3 سال بیش از 5000 موقعیت و یا بورسیه‌ی تحصیلی در مقاطع گوناگون، رشته‌های متنوع، و کشورهای مختلف با شما به اشتراک گذارده شده است! جدا از پست‌های دیگری که در برگیرنده‌ی فایل‌های آموزشی یا راهنمایی‌هایی جهت طی مسیر اپلای بودند. و سوا از ارائه‌ی مشاوره‌ی رایگان به بیش از 3000 نفر فقط از طریق تلگرام!!!

چه بسیار دوستانی که برای آن پوزیشن‌ها اپلای کردند، و چه بسیار کسانی که در نهایت پاسخ مثبت دریافت کرده‌اند. مبارک‌شان باشد! :)

در ادامه‌ی روند تصمیم گرفتیم که با ایجاد یک گروه تلگرامی برای کانال پوزیشن‌ها، مشارکت عزیزانی که علاقه‌مند هستند به دیگران کمک کنند را نیز جلب کنیم. بسیاری از ما احتمالا در طول روز با موقعیت‌ها یا بورسیه‌های تحصیلی‌ای برخورد می‌کنیم که برخی از آنها برای خود ما مناسب نیست، ولی شاید برای دیگر هم‌وطنان‌مان مفید باشد. در نتیجه چه خوب است که لینک آن‌ها را با دیگران به اشتراک بگذاریم! اگر اپلای تایم به تنهای توانسته بیش از 5000 پوزیشن را به اشتراک بگذارد، چنانچه همه‌ی ما با هم همکاری کنیم، چند پوزیشن می‌شود به اشتراک گذاشت؟!؟

شما می‌توانید با مراجعه به گروه زیر، لینک این گونه موقعیت‌ها یا بورسیه‌های تحصیلی‌ را با دیگران به اشتراک بگذارید:

https://news.1rj.ru/str/applytime_academic_positions

قوانین مربوط به اشتراک گذاری لینک‌ها در خود گروه توضیح داده شده است. اما به اختصار لازم به توضیح است، که این گروه برای تبادل نظر در زمینه‌ی اپلای طراحی نشده است، بلکه تنها و تنها جهت به اشتراک گذاری موقعیت‌ها یا بورسیه‌های تحصیلی می‌باشد.

اپلای تایم نیز مانند گذشته پوزیشن‌هایی را از طریق کانال یا وبسایت به اشتراک خواهد گذاشت.

New Post-doc Opening at U. of Toronto on Deep Learning / RL for Traffic Prediction and Control

Salary for the position is highly competitive. An initial offer would be made for one year with possibility of renewal for one or more years. Post-docs are expected to publish in the top venues relevant to the project research area and to produce high-quality deliverable code for use by research funding partners.

If you are interested, please email ssanner@mie.utoronto.ca with the following:

(a) your CV (clearly listing all publications),
(b) your github, gitlab, or bitbucket public account link with deep learning / reinforcement learning coding projects that we can browse,
(c) 1-2 sentences in your email stating why the position interests you and why you think you are appropriate for the position.

We are seeking to fill this new opening as soon as possible.

Dr. Scott P. Sanner
Assistant Professor, Industrial Engineering
Cross-appointed, Computer Science
Faculty Affiliate, Vector Institute
University of Toronto, Toronto, ON, Canada
Email: ssanner@mie.utoronto.ca
Website: http://d3m.mie.utoronto.ca

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MERL is seeking a motivated and qualified individual to conduct research in safe reinforcement learning (RL) and deep learning algorithms for robotics applications. The ideal candidate should have solid background in RL (PhD level). Knowledge of deep learning algorithms is a plus. Publication of the results produced during the internship is anticipated. Duration of the internship is expected to be 3 months. Start date is flexible.

Contact: Dr. M. Benosman

Link: https://www.merl.com/internship/openings.php?tags=benosman

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Hi, everyone. We're now accepting applications for summer 2020 Research Interns at the following link: https://smrtr.io/3D3zr. See my previous email below for information on our group, located in the AI Lab of UT Austin.

For the Research Scientist and Research Engineer positions linked to below, we expect to only consider applications submitted by the end of this week.

Best regards,
Brad
____________________
W. Bradley Knox, PhD

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7 Postdoctoral Research Positions - ML & AI for Healthcare

Computational Health Informatics (CHI) Laboratory,
Department of Engineering Science, University of Oxford

The CHI Lab, led by David Clifton (Oxford Professor of Clinical Machine Learning), has sites in Oxford (funded by the Wellcome Trust, UK government, and NHS) and Suzhou, China (funded by the Chinese government), with over 30 researchers. We develop (non-imaging) interventions for use in healthcare that are based on machine learning, typically involving time-series analysis, Bayesian nonparametrics, and generative deep learning. In close collaboration with Oxford University Hospitals, we have acquired some of the world’s largest sets of patient data (> 1M admissions). We collaborate closely with industry to deploy our methods across hospitals at scale - our work is typically patented by Oxford University Innovation, for immediate translation into healthcare practice. Recent outcomes include the public listing on the UK stock exchange of a company (now approaching 100 employees) to implement our research, alongside other spin-outs.



CHI Lab has openings for postdoctoral researcher scientists, in ML & AI for healthcare, across three sites:

· Four postdocs across a variety of novel Oxford-based clinical collaborations; https://bit.ly/387NZAI

· One postdoc in our Chinese lab in Suzhou; https://bit.ly/2OQsVYa

· Two senior postdocs in our new Wellcome Trust-funded “Flagship Centre”, based in Ho Chi Minh City, Vietnam, sited within the Oxford University Clinical Research Unit (containing 300 Oxford researchers). This initiative focuses on developing novel hospital-based AI interventions suitable for resource-constrained settings, and the posts include a generous package of “overseas allowances”. https://bit.ly/2DGQ5d4



Our lab’s members come from a variety of backgrounds, including machine learning, signal processing, imaging, statistics, and clinical medicine. You will have the opportunity to develop novel technologies based on machine learning as part of a highly collaborative team, with coinventorship on patents, publication in the engineering and medical literature (with leading clinical collaborators), and potential involvement with spin-out and industrial activity according to your interests.



Please contact Prof. David Clifton for informal enquiries: davidc@robots.ox.ac.uk

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Fully-funded Post Doctoral Position at InterDigitl, Information Theory for Understanding and Designing Flexible Deep Neural Networks

Running deep neural networks (DNNs) at the Edge and in consumer electronic (CE) devices remains still very challenging due to limited computational and memory resources. Moreover, usually those resources are constantly varying due to other concurrent processes that may start or stop. To optimally use varying resources, one needs so-called flexible DNN models, i.e., models that can optimally exploit all resources available at a given time.

We are targeting the design of such flexible models as follows. A flexible DNN is a network containing several simplified sub-networks of different complexities. This should allow optimally exploiting all available computational resources by executing an appropriate sub-network. However, designing such networks is difficult and time consuming. More precisely, designing an architecture of a usual (non-flexible) DNN is already time consuming, since one needs trying various numbers of layers, various numbers of neurons in each layer, etc. In case of flexible models we are targeting, one needs designing architectures of all sub-networks, which drastically increases the number of tries needed.

In this work we propose to look at the DNNs under the angle of information theory. Indeed, several recent works proposed to study DNNs [1, 2, 3, 4] using the information bottleneck principle [5]. This principle allows obtaining some theoretical bounds of DNN performance by quantifying mutual information between its layers. This will allow finding some near-optimal network simplification rules (going from one sub-network to another) based on theoretical findings, thus avoiding exhaustive cumbersome design of each sub-network. Moreover, we hope that this theoretical work will lead to other new results and findings.

Qualifications

PhD, in Computer Science, Signal Processing, Machine Learning, Mathematics.
Strong analytical and problem-solving skills
Excellent Mathematical / Statistical Skills, Machine Learning and Deep Learning
Strong knowledge in Information Theory
Good programming skills and / or simulation tools. SW (C/C++/Python)
Ability to conduct independent research, propose patents and publications
Ability to conduct independent research
Excellent communication skills and ability to work in a team
ML/AI scientist with a strong expertise and relevant background in distributing model for both inference and training.
Fluent in English
Location: Rennes, France

To apply:

Please send your cv and cover letter to Alexey Ozerov Alexey.Ozerov@InterDigital.com

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Pre- or Post-Doc Position in Family Demography - DEADLINE 15 December

Masaryk University seeks to appoint a doctoral student or a post-doctoral scholar in the Office of Population Studies and Department of Sociology as soon as possible, but no later than July 1, 2020.

The appointment is for 2 years, FTE is negotiable (between 0.5 – 1.0). Job grading depending on classification and previous experience as either Researcher I (1C) or Researcher II (2B), salary according to MUNI internal wage regulations.

Job denoscription: participation in research (required) and teaching (negotiable), especially preparation of research reports/papers/conference presentations in the area of partnership formation/transitions/dissolution preferably examined from a comparative perspective and using data from the Generations and Gender Programme (GGP) or similar source.

Qualifications: M.A. degree or equivalent (prae-doc position) or a Ph.D. degree (post-doctoral position) in sociology, demography or other relevant field, experience with quantitative (specially survey/panel) data, very good command of English.

Application documents: Cover Letter indicating the date of earliest availability, Curriculum Vitae including a list of publications and conference presentations, copies of degree certificates.

Deadline for applications: December 15, 2019. Send your application as a single PDF file to the Czech GGP country office at ggp@fss.muni.cz.


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AI Scientist positions at AI Singapore

Hi all,

We have openings for AI Scientists and AI Scientific Officers.

AI Singapore (AISG) is a national program launched by the National Research Foundation (NRF). It brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts. The AI Technology Team, led by Prof. Tze Yun Leong, Prof. Stefan Winkler, and Prof. Bryan Low, is looking for AI Scientists and Scientific Officers.

As an AI Scientist or Scientific Officer, you will conduct desk research to identify and propose research domains and topics of significant impact and priority. Working in close interaction with academic researchers and industry partners, you will assist AISG leadership in shaping future grant programs as well as reviewing and evaluating proposal submissions. You will also have the opportunity to engage in state-of-the-art research and contribute to the development of open source systems.

Qualifications:

a Ph.D. degree in computer science or related disciplines
extensive AI knowledge, especially in areas such as adversarial ML, federated learning, synthetic data generation, social network analysis, computer vision, natural language processing
excellent communication skills in both written and verbal English
keen interest in working with emerging technologies and frameworks
an adventurous spirit and willingness to learn new ideas and new domains
Benefits include:
Close collaboration with local universities, research institutes, and companies
Competitive compensation, including family health benefits
Live in a vibrant, multi-cultural city in the heart of South-East Asia
Please submit your application at www.aisingapore.org/careers
Best regards,

Stefan Winkler
aisingapore.org




AI Singapore (AISG)
innovation 4.0
3 Research Link #02-04
Singapore 117602
www.aisingapore.org | www.facebook.com/groups/aisingapore | www.linkedin.com/company/aisingapore

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University of Oulu International Scholarships 2020-2021

The University of Oulu International Scholarship Scheme provides scholarships to academically talented international students studying for a Master’s degree in the University of Oulu two-year International Master’s programmes or five -year Intercultural Teacher Education programme. The scholarships will be granted in the form of a tuition fee waiver covering 50% or 75% of the full tuition fee. Applicants can apply for the tuition scholarship as part of the admissions process. University of Oulu Scholarships do not cover living costs.

More info

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Dame Margaret Clark Scholarship in Political Science


Eligibility Criteria
Students eligible for this scholarship must:

Master’s by thesis students (120 points)
Have completed an honours degree in political science or international relations or a cognate discipline providing appropriate preparation for the completion a Master’s thesis and be enrolled in a full year (120 point) Master’s thesis in political science or international relations at Victoria University of Wellington.
Taught Masters students (180 points):
Be enrolled in a full year (180 point) taught Masters in political science or international relations at Victoria University of Wellington.
Selection for this scholarship will be based on academic merit, and in particular, the grades achieved in 300 and 400 level papers in political science or international relations. In the case of candidates with a similar grade point average, preference will be given to students undertaking a thesis on some aspect of New Zealand politics.

More info

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RL and LfD research positions (now including interns) at Bosch / UT Austin, focusing on autonomous vehicles

Hi, everyone. We're now accepting applications for summer 2020 Research Interns at the following link: https://smrtr.io/3D3zr.

For the Research Scientist and Research Engineer positions I emailed about some weeks ago, we're nearing the end of the application period. We will only accept applications through the end of this week. Those roles can be applied to here:
Research Scientist - Machine Learning for Autonomous Driving Behavior: https://smrtr.io/3rgnH
Research Engineer - Machine Learning for Autonomous Driving Behavior: https://smrtr.io/3sqZZ

--Information on Bosch Austin--
I've recently begun building an RL/LfD-for-autonomous-vehicles research team for Bosch, the world's largest automotive supplier (with $51B in revenue in 2018), who also happens to make nice home appliances and power tools. Our team has an unusual setup: we office within the UT Austin Computer Science building and are collaborating with Peter Stone, Scott Niekum, and others here. We plan to publish research on RL and LfD topics---where autonomous driving may only be one of many applications of the research results---but we’ll also do R&D that adds algorithms to the Bosch autonomous vehicle program. In the mix are some human-in-the-loop RL research projects as well.

Here’s why I’m grateful to be in this group and why it’s a special opportunity for researchers focusing on RL or LfD for robotics. Features of Bosch in Austin:
an ability to move between fundamental and applied research
a focus on autonomous vehicles, a high-impact topic with problems spread across the spectrum of application and research
competitive industry pay in an academic setting
Austin (creative culture, natural beauty, and a low cost of living for a US tech hub) )
------------
Please send any questions to my Bosch email, brad.knox@us.bosch.com. Applications should be made through the links at top.

Best regards,
Brad


P.S. Apologies to anyone who receives multiple copies via cross posting.
____________________
W. Bradley Knox, PhD
http://bradknox.net
(+1) 512-542-3333

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Postdoc - Immunology, Virology, Biology, Life Sciences - Oncolytic Viruses and Cancer Immunotherapy
Medizinische Universität Innsbruck Innsbruck (Österreich)

A Post Doc position is available at the Christian Doppler Laboratory for Viral Immunotherapy “CD-VIT”, part of the Institute for Virology at the Medical University of Innsbruck, Austria.

The Christian Doppler Laboratory for Viral Immunotherapy of Cancer is an international research group with strong translational focus on the development of novel cancer treatments. Our lab’s main aim is to integrate virotherapy into the dynamic field of cancer immunotherapy. We work in an academic environment in close collaboration with the pharmaceutical industry. We employ a broad range of methods including molecular virology and biology, advanced cytometry and tumor immunology, single cell sequencing, and in vivo models. Generous funding is provided by the Christian Doppler Research Association, Viratherapeutics GmbH and Boehringer Ingelheim Pharma.
Activities and responsibilities
The portfolio of the advertised Postdoc position includes - but is not limited to:
Characterization and modulation of immunogenic cell death induced by oncolytic viruses
Development of immune-modulating armed oncolytic viruses
Studying the mechanisms linking viral oncolysis with antitumor immunity
Qualification profile
Your profile:

Required qualifications include:
PhD degree in life sciences (biology/immunology/microbiology/pharmacology/biochemistry)
Strong experimental background in molecular virology OR immunogenic cell death
Strong motivation and commitment for the research project, dedication to work as a team player and supervise undergraduate and graduate students
The following experiences are a strong plus:
Experience with mouse tumor models or mouse immunology (incl. animal work certification, i.e. FELASA or equivalents)
Genome engineering techniques, viral cloning
Cell death pathways / signal transduction
We offer
Our offer:
Translational research to develop new cancer therapies in close collaboration with partners from clinical departments, biotech and pharma industry
Multi-disciplinary scientific environment
Training and development opportunities
Exciting and stimulating work atmosphere in an international research consortium
Project funded by a prestigious research grant (Christian Doppler Research Laboratory) for up to 7 years (2017-2024)
Annual salary around € 54,000.- gross
Appointment for 2 years initially, extension possible
Send application to
Please send your detailed application (including letter of motivation, curriculum vitae, copies of certificates, and references) by December 31th 2019 to the following address:

Dr Guido Wollmann
Institute for Virology
Medical University of Innsbruck
Peter-Mayr-Straße 4b
6020 Innsbruck
Austria

e-mail: guido.wollmann@i‐med.ac.at

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Interested Student for Integrated MS and PhD position in Machine Learning

Dear Researchers and Professors,

Greetings! I am Md Emdad Ullah, looking for an Integrated Master's cum PhD studentship position across the globe in the areas of Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing or in related areas of Computer Science.Specifically, I am interested in machine learning application in the chemical field.

I would expect a scholarship as I am planning to start this position as soon as possible.

Please let me know if you and/or any of your colleagues are interested in taking a student.

Thanking you. I look forward hearing from you soon.

Best Regards,
Md Emdad Ullah
University of Dhaks
email- emdadsami@gmail.com

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Permanent academic position - Lecturer/Senior Lecturer/Reader in Media & Data Science, University of Glasgow, School of Computing Science

Academic post available at Lecturer or Senior Lecturer/Reader (equivalent to Assistant or Associate Professor), subject to eligibility. The salary will be on the Research and Teaching Grade, level 7, 8 or 9: £35,210 - £39,610 / £43,266 - £50,132 / £51,630 - £58,089 per annum.

Applications for the post are welcome in any research areas of Information, Data and Analysis (IDA) Section of the school, including Machine Learning, Data Systems, Computational Interaction, Vision & sensor-based systems and Information Retrieval. The School has recently invested in a Media & Data Science research theme, recruiting experts in information retrieval and computational political/media science. The school now aims to further strengthen Media & Data Science theme by recruiting a post-holder that can complement the existing strengths within the School, and can develop, lead and sustain research of international standard in Artificial Intelligence/Machine Learning/Data Systems/Information Retrieval; contribute to teaching, assessment, project supervision and curriculum design at undergraduate and postgraduate levels; and participate in School management and organisation.

The School has existing strengths in machine learning and information retrieval applied in contexts such as Music Information Retrieval, Politics and Social media, Conversational interaction and Search. As part of our plans to expand our research and teaching activities in this area and collaborate more closely with our neighbours at BBC Scotland, the Section aims to recruit three academic posts in the topics of Machine Learning, Data Systems, Computational Interaction and Information Retrieval that have the potential to expand our existing strengths in media and data science, including but not limited to topics such as:



· core machine learning technologies (e.g. graph convolutional networks, architectures for multimedia (video or audio) content)

· conversational interaction and search

· explainability/interpretability/ethics/fairness in artificial intelligence, machine learning, algorithmic bias, especially applied in a media and search context

· data science for communications media

· data science for politics and social media

· social media analytics

· algorithmic content generation

· personalisation including (context-aware) recommendation systems/interaction

· large-scale data system engineering



Apply online at http://www.gla.ac.uk/explore/jobs/ Vacancy Reference: E20420

More details on positions available at: https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/#/mediaanddatascience


Closing date: 12th December 2019

The Information, Data and Analysis Section is led by Professor Roderick Murray-Smith, and has 17 academics, and 46 postdoctoral fellows, research assistants and PhD students active in this area. IDA section: https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/

For informal enquiries please contact:
Professor Rod Murray-Smith Email: Roderick.Murray-Smith@glasgow.ac.uk


Professor Roderick Murray-Smith
Head of Section, Information, Data and Analysis Section,
Inference, Dynamics and Interaction Research Group
School of Computing Science
University of Glasgow
Phone: +44 141 330 4984
Web: http://www.dcs.gla.ac.uk/~rod

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PhD studentship in binocular vision at the University of York

Dear all,

A fully funded PhD studentship is available (Home/EU) at the University of York (UK) in the laboratory of Daniel Baker and Aurelio Bruno, beginning October 2020. The project is on the binocular integration of light, and will involve combining pupillometry, EEG and computational modelling to understand both cortical and subcortical processes of binocular signal combination. There will be opportunity to investigate how these processes might differ in clinical groups, including amblyopia and autism. Further details are available here:

https://www.findaphd.com/phds/project/binocular-integration-of-light-in-amblyopia-and-autism/?p115661

Please encourage talented undergraduate and masters students to apply.

All the best,

- Daniel Baker

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PhD positions in Machine Learning in ECE at George Washington University, USA

Dr. Mahdi Imani, an assistant professor at the Department of Electrical and Computer Engineering at the George Washington University, seeks for multiple PhD students with interests in Machine Learning, Reinforcement Learning and Statistics. Ideal candidates may have:

- Master’s degree in electrical/computer engineering or computer science.
- Strong background in mathematics and statistics.
- Good programming skills (e.g., Python).

Prospective students may email their CV, trannoscripts and English test scores at imani.gwu@gmail.com. For more information, see https://web.seas.gwu.edu/imani/.

Self-supported postdoctoral and visiting scholars are encouraged to contact as well.

--
Mahdi Imani, Ph.D.
Assistant Professor
Dept. of Electrical and Computer Eng.
George Washington University
https://web.seas.gwu.edu/imani/
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2 PhD Candidates in Computer Science
paluno - The Ruhr Institute for Software Technology, Universität Duisburg-Essen

Activities and responsibilities
Are you passionate about SOFTWARE ENGINEERING research?
If so, you should apply for one of our positions.

Please let us know your research interest, the research challenge you like to work on, and your initial thoughts how to address the challenge.

We offer you:
a full-time position with a competitive salary according to the German TV-L (40,000-50,000 €/a)
dedicated travel and equipment budget
close collaboration with our partners from industry and academia in the context of our European and national research projects
an attractive and modern workplace with excellent facilities
intensive mentoring and a structured PhD process
English as working language

More info

✔️ @ApplyTime