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PhD Positions

PhD Student Position
(m/f/d, full time 100%, payment according to E13 TV-L, temporary for the duration of 3.5 years)

The University of Stuttgart represents outstanding, world-renowned research and first-class teaching in one of Europe's most dynamic industrial regions. As a reliable employer, the university supports and promotes the academic careers of its researchers. It is proud of its employees, who currently come from over 100 different countries. The university is a partner for knowledge and technology transfer and focuses on multidisciplinarity.

The Cluster of Excellence "Data-Integrated Simulation Science" (EXC 2075) is an interdisciplinary research center with more than 200 scientists of different ages, gender identities, nationalities and different subject areas, jointly performing research towards a common goal: We target a new class of modeling and computational methods based on available data from various sources, in order to take the usability, precision and reliability of simulations to a new level.

This is why we seek applicants from all parts of society. The open PhD student position is integrated into the Graduate School of the Cluster. This position is part of the project "Simulation-Based Prior Distributions for Bayesian Models" in the Junior-Research Group for Bayesian Statistics of Dr. Paul-Christian Bürkner at the Cluster of Excellence SimTech of the University of Stuttgart.

PhD Student Position
(m/f/d, full time 100%, payment according to E13 TV-L, temporary for the duration of 3.5 years)

Your tasks:

  • Development of methods to compute simulation-based prior distributions, primarily by means of normalizing flows realized via invertible neural networks
  • Execution of extensive simulations to evaluate the newly developed methods and compare them to competing approaches
  • Development of software to implement the new methods in open-source programming languages such as Python, R, or Julia
  • Close cooperation with other scientists within the research group and at the Cluster of Excellence SimTech
  • Publication of research results in international scientific journals and conference proceedings
  • Active participation at national and international conferences

Your qualifications:

  • Master’s degree in a field with strong quantitative focus (e.g., statistics, computer science, mathematics, physics, biology, or psychology)
  • Strong interest in research questions focused on statistical modelling of complex data
  • Previous experience in applied statistics, mathematical statistics, or machine learning
  • Ideally previous experience in Bayesian statistics or probabilistic machine learning as well as with artificial neural networks
  • Previous experience in at least one programming language common in quantitative fields (e.g., Python, R, Julia, or C++)
  • Previous experience in the probabilistic programming language Stan or another probabilistic programming language as well as with Tensorflow or Pytorch is an asset
  • Proficient English skills (spoken and written); German skills are not required
  • High amount of commitment, cognitive flexibility, as well as the ability to work both independently and in a team

We offer:

  • An inspirational and supportive research environment at the Cluster of Excellence SimTech
  • A nationally and internationally well-connected research group including close collaborations within the Stan Development Team
  • Diverse and responsible tasks in a dynamic and friendly team
  • Extensive opportunities to participate in training programs to support your first steps as an early career scientist

Please submit your complete application, including one-page motivation letter, academic CV, academic certificates, and transcript of records, as well as a reference (i.e., contact details of a person who has worked with you and is willing to be contacted about your work), via paul.buerkner@simtech.uni-stuttgart.de until June 5th, 2022. If you have any questions regarding this application, please contact us via the above email address.

We cannot reimburse any costs arising from the performance of job interviews. However, we offer interviews to be held online.

At the University of Stuttgart and the Cluster of Excellence EXC 2075, we actively promote diversity among our employees. We have set ourselves the goal of recruiting more women scientists and employing more people with an international background, as well as people with disabilities. We are therefore particularly pleased to receive applications from such people. Regardless, we welcome any good application.

Women who apply will be given preferential consideration in areas in which they are underrepresented, provided they have the same aptitude, qualifications and professional performance. Severely disabled applicants with equal qualifications will be given priority.

As a certified family-friendly university, we support the compatibility of work and family, and of professional and private life in general, through various flexible modules. We have an employee health management system that has won several awards and offers our employees a wide range of continuing education programs. We are consistently improving our accessibility. Our Welcome Center helps international scientists get started in Stuttgart.

Information in accordance with Article 13 DS-GVO on the processing of applicant data can be found at https://careers.uni-stuttgart.de/content/privacy-policy/?locale=en_US

Student Jobs

We currently have an opening for a 

HiWi position in Computational Cognitive Science (m/f/d) 

for 10 hrs/week in the first two months at a rate of 10.77€/h - 17.01€/h depending on your academic degree. After two months, we want to prolong the contract long-term (> 6 months).

We highly encourage applications from underrepresented groups, explicitly (but not exclusively) first-generation students, women, immigrants, parents, POC, LGBT*IQ.

The HiWi position is closely linked to the Institute for Visualization and Interactive Systems (VIS). You will also get the opportunity to join our lab-meetings and get training from experienced EEG researchers.

Potential tasks:

Short-term

  • Improve online-materials for lectures
  • Improve course homework tasks & solutions
  • Prepare educational graphics for CC-by public license

Long-term

  • Improve documentation
  • Record EEG data
  • Lab-manager duties
  • Program recording & analysis pipelines (mostly python)

Your qualifications: 
If you,

  • are studying at the University of Stuttgart
  • can think out of the box and have a clear practical thinking approach
  • have an interest in empirical science
  • enjoy working in a team while working independently is not a problem
  • (not strictly necessary for all tasks) can program in Julia, Python or Matlab
  • are fluent in English and (not necessary for all tasks) German

We want to get to know you!

This is what we offer:

If you work with us,

  • you will enter into a team of motivated and supportive colleagues
  • we will train you in EEG application and recording
  • you will work in the inspirational state of the art research environment in the Cluster of Excellence SimTech
  • you can write your research project and thesis based on your work with us, if it is suitable and if you wish to do so

We offer you the opportunity to gain experience in a motivated and cooperative team of interdisciplinary researchers!

The Cluster of Excellence “Data-Integrated Simulation Science” (EXC 2075) is an interdisciplinary research center with more than 200 scientists performing research towards a common goal: We target a new class of modeling and computational methods based on available data from various sources to take the usability, precision, and reliability of 
simulations to a new level. 

At the University of Stuttgart and the Cluster of Excellence EXC 2075, we actively promote diversity among our employees. We have set ourselves the goal of recruiting more women scientists and employing more people with an international background, as well as people with disabilities. We are therefore particularly pleased to receive applications from such people. Regardless, we welcome any good application.

Women who apply will be given preferential consideration in areas in which they are underrepresented, provided they have the same aptitude, qualifications and professional performance. Severely disabled applicants with equal qualifications will be given priority.

As a certified family-friendly university, we support the compatibility of work and family, and of professional and private life in general, through various flexible modules. We have an employee health management system that has won several awards and offers our employees a wide range of continuing education programs. We are consistently improving our accessibility. Our Welcome Center helps international scientists get started in Stuttgart.

Information in accordance with Article 13 DS-GVO on the processing of applicant data can be found at https://careers.uni-stuttgart.de/content/privacy-policy/?locale=en_US

Please submit your application (your curriculum vitae, most recent grade transcript and ½ page motivation letter) in one single pdf file via e-mail benedikt.ehinger@vis.uni-stuttgart.de. The position will be filled as soon as possible. If you have any questions, do not hesitate to contact us.

Jobs at other institutions

We currently have an opening for a

PhD researcher on the topic of “Visual computing for ERP-based brain activity”

on a 100% TVL-13 position for 3 years.

We highly encourage applications from underrepresented groups, explicitly (but not exclusively) first-generation students, women, immigrants, parents, POC, LGBT*IQ.

The PhD position is closely linked to the Institute for Visualization and Interactive Systems (VIS). For the first 1.5 years, you will work in the SFBtr161 “Quantitative Methods for Visual Computing” and be included in their Graduate Training Program. The initial topic stretches from an analysis of current visualization techniques in ERP research, the design, implementation and documentation of new open-source interactive tools for traditional and regression-based ERP analyses, and finally their evaluation in novice and experts.

Due to strict funding rules, the position should start as soon as possible – initial remote work is possible.

What we offer:

  • A small lab with direct supervision
  • An "extended" lab with Andreas Bulling (HCI, ML)
  • High scientific rigor
  • Family-friendly and all-welcoming lab atmosphere
  • Travel money for at least 1 large conference and one summer school/year
  • Childcare budget for conferences
  • Flexibility for own projects
  • Flexibility for an internship in another lab (in Germany or abroad, depending on funding)
  • After 2 years: An honest discussion how to prepare for careers in academia or industry
  • Access to equipment relating to EyeTracking, EEG, VR, 3D printing, motion tracking etc.

What you should offer:

  • A genuine interest in scientific advances
  • Scientific integrity, confidence to question authority (as "science is the belief in the ignorance of experts"), and the ability to stand up for good science
  • Coding skills (Julia/Python/R/Matlab preferred over C/C++/Java etc.)
  • Experience with event-related time series (e.g., ERPs, BOLD/FIR-modelling)
  • Best case: Statistic skills (especially multiple regression)
  • Best case: Visual computing skills (e.g., user-studies, visualization)
  • Background in cognitive science, statistics, neuroscience, visualization or related field
  • You should be prepared to do some teaching (max. 1 course/semester) and B.Sc./M.Sc. supervision
  • Excellent command of English in writing and speech. German is not required
  • Being kind and open

Please do not hesitate to apply even if you do not check all the boxes.

Please submit your application (motivation letter, curriculum vitae, transcript of records, link to code examples (e.g., GitHub)) in one single PDF file and in an additional PDF file your master thesis (if not yet completed, recent report/paper/essay), via e-mail to benedikt.ehinger@vis.uni-stuttgart.de with the subject-line “[SFB-PhD] Lastname”. The position will be filled as soon as possible. If you have any questions, do not hesitate to contact us.

Information on how we handle applicant data in accordance with Article 13 of the EU General Data Protection Regulation can be found at https://www.uni-stuttgart.de/en/privacy-notice/job-application/.

The University of Stuttgart is committed to increasing its female-to-male staff ratio. Female candidates are therefore specifically invited to apply. Where qualifications are equal, persons with a severe disability will be given preference. As an employer, the University seeks to support the development of all its employees and helps them fulfil their individual potential. It advocates a good work/life balance and equal opportunities. The University of Stuttgart is a recognized “family-friendly employer” and a signatory to the Diversity Charter (“Charta der Vielfalt”) created by German organizations to promote diversity in business and society.

How to reach us

Coming from the city: Take the subway from the station "Hauptbahnhof", "Stadtmitte" or "Feuersee" S1 (Herrenberg), S2 or S3 (both Flughafen) and get off at "Universität".

Timetable information by VVS [de]

Leave the highway A8 (Munich-Karlsruhe) at the junction Stuttgart-Vaihingen and follow the road towards Stuttgart. The second junction "Universität" leads directly to the University area.

The train stop is located directly beneath the airport. Just follow the signs marked "S". Take the subway S2 (Schorndorf) or S3 (Backnang) and get off at "Universität". Buy a ticket for two zones at one of the orange colored vending machines.

Timetable information by VVS [de]

Open map
 

Stuttgart Center for Simulation Science (SC SimTech) | Cluster of Excellence EXC 2075 "Data-Integrated Simulation Science"

Pfaffenwaldring 5a, 70569 Stuttgart

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