Contact & Jobs

Professorships

There are currently no vacancies.

Management Team

There are currently no vacancies.

PostDoc Positions

We currently have an opening for a

Postdoc (m/f/d)
(TV-L 13, full time, 2 years)

BAYESIAN INTENT PREDICTION FOR HUMAN-MACHINE COLLABORATION

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, in order to take the usability, precision and reliability of simulations to a new level.

THE PROJECT

The goal of this specific project is to contribute to the development of a new generation of human-computer interfaces that pro-actively adapt to users’ future actions by predicting their interaction intentions. Specifically, the project will formulate and study intent prediction in a fully Bayesian framework. This approach will not only enable future interfaces to quantify and adapt to the inherent uncertainty of the intent predictions themselves, but will also leverage this information to improve subsequent predictions of users’ actions.

YOUR TASKS

  • Develop a mathematical framework for Bayesian intent prediction that can conceptually and computationally scale to realistic settings
  • Build and empirically evaluate proof-of-concept implementations of the framework in the context of intelligent user interfaces (human-computer interaction)
  • Contribute to other ongoing research projects within the host group, specifically a related ERC Starting Grant project
  • Contribute to the teaching activities of the host group

WE ARE LOOKING FOR

We seek strong applicants with a Doctorate in Computer Science, Mathematics or a closely related field ideally with a specific focus on Machine Learning, Bayesian Statistics or Computer Vision. We value diversity and want to specifically encourage applications from underrepresented groups. Successful candidates should be curiosity-driven, ambitious, creative, and passionate about interdisciplinary research in the area of simulation and data sciences. Strong team working and critical thinking skills, aptitude for independent and creative work, as well as fluent English written and presentation skills are essential.

The position is fully funded (100%) and is available to applicants of any nationality. You will contribute to the leadership of ongoing projects, will have the opportunity to advise undergraduate and graduate students, and contribute to the teaching activities of the group.

If you are highly motivated and capable of addressing and solving scientifically difficult problems and if you are interested in doing research in an internationally oriented and highly successful team, you should send your application to jobs@simtech.uni-stuttgart.de.

Please submit your complete application by e-mail with one pdf attachment comprising a cover letter, academic CV, research statement, a full publication list, names and contact addresses of two referees, as well as academic certificates and transcript of records. 

If you have any questions regarding this application, please contact Prof. Andreas Bulling (Andreas.Bulling@vis.uni-stuttgart.de).

We cannot reimburse any costs arising from the performance of job interviews.

The University of Stuttgart has been awarded “family-friendly employer”. Flexible working hours, regular child care services, and family-networks allow for a better combination of professional and family life. The University of Stuttgart also offers a range of services to enhance social equity (https://www.uni-stuttgart.de/en/university/profile/equality-diversity/). Additionally, a dual career program is in place to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/ 

The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications.

Information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: https://www.uni-stuttgart.de/en/privacy-notice/job-application/

 

Postdoc "Bayesian Intent Prediction for Human-Machine Collaboration" (PDF)

We currently have an opening for a

Postdoc (m/f/d)
(TV-L 13, full time, 2 years)

DESIGNING AQUEOUS DEEP EUTECTIC MIXTURES BY DATA-INTEGRATED SIMULATION

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, in order to take the usability, precision and reliability of simulations to a new level.

THE PROJECT

The goal of the project "Designing aqueous deep eutectic mixtures by data-integrated simulation" is to develop and apply a design strategy for deep eutectic solvents by combining molecular dynamics simulations and machine learning strategies. Deep eutectic solvents (DES) are promising solvents in biocatalysis, because they are designable, renewable, biodegradable, and cheap. Thus, they are considered as an alternative to organic solvents for enzyme-catalyzed reactions that involve hydrophobic substrates. The thermophysical properties of aqueous DES mixtures such as density, melting point, viscosity, substrate solubility, and thermodynamic activity of water can be designed by varying the components, their mole fraction, and the temperature. Thus, a very large design space is available. Molecular dynamics simulations provide an atomistic understanding of thermodynamic and transport properties, which is essential to guide the design of DESs. To reduce the computational expense of screening the design space, a combination of MD simulations with machine learning methods will be applied.

YOUR TASKS

  • Follow best practices in sustainable software development and apply and further develop a scalable workflow environment to perform large-scale simulations on a HPC infrastructure
  • Follow the F.A.I.R. data principles and systematically compare thermophysical properties obtained from simulations to published experimental data by using ThermoML
  • Use the simulation results for machine learning and for improving the force fields of the compounds in the complex mixtures.
  • Design novel deep eutectic solvents and validate the predictions in collaboration with our experimental project partners
  • Contribute to the teaching activities of the host group

WE ARE LOOKING FOR

We seek strong applicants with a Doctorate in Chemistry, Chemical Engineering, Biotechnology, Physics, or a closely related field ideally with a specific focus on molecular simulation and experience in machine learning techniques. We value diversity and want to specifically encourage applications from underrepresented groups. Successful candidates should be curiosity-driven, ambitious, creative, and passionate about interdisciplinary research in the area of simulation and data sciences. Strong team working and critical thinking skills, aptitude for independent and creative work, as well as fluent English written and presentation skills are essential.

The position is fully funded (100%) and is available to applicants of any nationality. You will contribute to the leadership of ongoing projects, will have the opportunity to advise undergraduate and graduate students, and contribute to the teaching activities of the group.

If you are highly motivated and capable of addressing and solving scientifically difficult problems and if you are interested in doing research in an internationally oriented and highly successful team, you should send your application to jobs@simtech.uni-stuttgart.de. Please submit your complete application by e-mail with one pdf attachment comprising a cover letter, academic CV, research statement, a full publication list, names and contact addresses of two referees, as well as academic certificates and transcript of records. 

If you have any questions regarding this application, please contact Prof. Jürgen Pleiss (Juergen.Pleiss@itb.uni-stuttgart.de).

We cannot reimburse any costs arising from the performance of job interviews.

The University of Stuttgart has been awarded “family-friendly employer”. Flexible working hours, regular child care services, and family-networks allow for a better combination of professional and family life. The University of Stuttgart also offers a range of services to enhance social equity (https://www.uni-stuttgart.de/en/university/profile/equality-diversity/). Additionally, a dual career program is in place to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/ 

The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications.

Information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: https://www.uni-stuttgart.de/en/privacy-notice/job-application/

 

Postdoc "Designing aqueous deep eutectic mixtures by data-integrated simulation" (PDF)

We currently have an opening for a

Postdoc (open to all disciplines)
(TV-L 13, full time, 2 years,m/f/d)

CRITICAL REFLECTION ON SIMULATION SCIENCE

The DFG-funded 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, in order to take the usability, precision and reliability of simulations to a new level.

THE PROJECT

The scope of the project relates to critically reflecting the broader impact of simulation science. Potential areas of research might include (but are not limited to) ethical and social concerns connected with simulation science, such as data ethics, privacy issues, or dual use; the function of different media (including literature and art) in the critical reflection of potential risks and effects of simulation science; or empirical studies on impact assessment of research approaches within the cluster. The successful candidate will work closely together with the SimTech “Platform for Reflection”, which offers a forum for reflecting on more general implications of the research conducted within EXC 2075. Their research will also be connected to the Stuttgart Research Focus “Interchange Forum for Reflecting on Intelligent Systems” (SRF IRIS), which they can join as a member upon interest.

YOUR TASKS

You will be responsible for developing new tools for reflecting upon the impact of simulation science both within and beyond EXC 2075.  While the postdoctoral project proposed will be rooted in your home discipline, it should demonstrate a strong interdisciplinary scope and address key issues arising from research conducted within EXC 2075.

WE ARE LOOKING FOR

Considering that reflection often requires an ‘outside view’, candidates with a doctorate in cognitive science, psychology, or the humanities are particularly encouraged to apply. The ideal candidate is further required to demonstrate a solid interest and expertise in interdisciplinary approaches, proven by an interdisciplinary background and/or interdisciplinary research proposal.

WE OFFER

If you work with us,

  • you will enter a team of motivated and supportive colleagues
  • you will work in the dynamic environment of the Cluster of Excellence SimTech and be part of the largest research alliance at the university
  • An inspirational and supportive research environment at the Cluster of Excellence SimTech
  • Diverse and responsible tasks in a dynamic and friendly team

The position is fully funded (100%) and is available to applicants of any nationality. You will contribute to the leadership of ongoing projects, will have the opportunity to advise undergraduate and graduate students, and contribute to the teaching activities of the group.

Please submit your complete application by e-mail with one pdf attachment comprising a cover letter, academic CV, research statement (4 pages max.), a full publication list, names and contact addresses of two referees, as well as academic certificates and transcript of records and the completed application form (click here) to jobs@simtech.uni-stuttgart.de by 30 August 2021.

If you have any questions regarding this application, please contact the SimTech Committee Platform for Reflection (reflection@simtech.uni-stuttgart.de).

We cannot reimburse any costs arising from the performance of job interviews.

The University of Stuttgart has been awarded “family-friendly employer”. Flexible working hours, regular childcare services, and family-networks allow for a better combination of professional and family life. The University of Stuttgart also offers a range of services to enhance social equity (https://www.uni-stuttgart.de/en/university/profile/equality-diversity/). Additionally, a dual career program is in place to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/   

The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications.

Information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: https://www.uni-stuttgart.de/en/privacy-notice/job-application/

 

Postdoc "Critical Reflection on Simulation Science"

We currently have an opening for a

Postdoc (m/f/d)
(TVL 13, full time, 2 years)

PRO-ACTIVE SUPPRESSION OF DYFUNCTIONAL MOVEMENTS DURING ARM MOTION CONTROL 

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, in order to take the usability, precision and reliability of simulations to a new level.

THE PROJECT

The goal of this research project is to pioneer the first non-invasive approach to suppress unwanted (dysfunctional) movement while allowing intended movement for people suffering from neuro-degenerative diseases. This requires computational methods to predict human arm movement intentions and execution from multi-modal bio-signals stemming from real and synthetic data during everyday tasks. To this end, the project aims to combine eye movement recordings, multi-modal arm motion recordings, and novel machine learning techniques with a biophysical neuro-musculoskeletal human model to predict the next, most-likely intended user action.

YOUR TASKS

  • Develop computational methods to predict human arm movement intentions and execution from multi-modal bio-signals stemming from real and synthetic data during everyday tasks
  • Design and perform multi-modal eye and arm motion recordings (gaze using eye-tracker, kinematics using motion capture, EMG using surface electrodes)
  • Apply novel machine learning techniques and combine with a biophysical neuro-musculoskeletal human model to predict the next, most-likely intended user action
  • Contribute to other ongoing research projects within the host group

WE ARE LOOKING FOR

We seek strong applicants with a Doctorate in Computer Science, Mathematics, Physics or a closely related field ideally with a specific focus on Machine Learning, Bayesian Statistics, Biophysical Modeling. We value diversity and want to specifically encourage applications from underrepresented groups. Successful candidates should be curiosity-driven, ambitious, creative, and passionate about interdisciplinary research in the area of simulation and data sciences. Strong team working and critical thinking skills, aptitude for independent and creative work, as well as fluent English written and presentation skills are essential.

The position is fully funded (100%) and is available to applicants of any nationality. You will contribute to the leadership of ongoing projects, will have the opportunity to advise undergraduate and graduate students, and contribute to the teaching activities of the group.

If you are highly motivated and capable of addressing and solving scientifically difficult problems and if you are interested in doing research in an internationally oriented team, you should send your application to jobs@simtech.uni-stuttgart.de. Please submit your complete application by e-mail with one pdf attachment comprising a cover letter, academic CV, research statement, a full publication list, names and contact addresses of two referees, as well as academic certificates and transcript of records. 

If you have any questions regarding this application, please contact Prof. Syn Schmitt (schmitt@simtech.uni-stuttgart.de) or Prof. Andreas Bulling (Andreas.Bulling@vis.uni-stuttgart.de).

We cannot reimburse any costs arising from the performance of job interviews.

The University of Stuttgart has been awarded “family-friendly employer”. Flexible working hours, regular child care services, and family-networks allow for a better combination of professional and family life. The University of Stuttgart also offers a range of services to enhance social equity (https://www.uni-stuttgart.de/en/university/profile/equality-diversity/). Additionally, a dual career program is in place to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/ 

The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications.

Information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: https://www.uni-stuttgart.de/en/privacy-notice/job-application/

 

Postdoc "Pro-active suppression of dysfunctional movements during arm motion control"

The Cluster of Excellence EXC 2075 "Data-Integrated Simulation Science (SimTech)" at the University of Stuttgart invites applications for two positions of

Independent Junior Research Group Leaders in Data-Integrated Simulation Science (f/m/d)

This second call specifically addresses female researchers as a measure for improving the gender balance in the Cluster. Selected researchers will start and lead a new independent group within the Cluster of Excellence which will be funded for up to four years, including the group leader position (TV-L E14), funds for doctoral projects (TV-L E13), as well as start-up funds and annual budget. The new groups are expected to establish a competitive research program which contributes to the Cluster’s success by collaborating with other SimTech researchers within one of the seven project networks https://www.simtech.uni-stuttgart.de/en/research/.

EXC 2075 was established in 2019 in the framework of the German Excellence Strategy with an initial funding period of seven years. It builds on the previous EXC 310 which ran from 2007-2018 establishing the University of Stuttgart as a world leading research center for simulation technology. A Cluster of Excellence is the most significant and substantial grant for collaborative research funded by the German Research Foundation (DFG). SimTech is the only Cluster with a research agenda of integrating simulation science and data science into a new paradigm bringing together interdisciplinary teams of researchers from seven faculties at the University, nearby academic institutions, and international research groups.

To complement our research activities and to pursue the Cluster’s goal of further increasing the percentage of female scientists in simulation science, we are looking for highly motivated researchers with an excellent early-career track record (typically two years after obtaining a doctorate) and international research experience in fields contributing to the Cluster’s research agenda. Successful candidates have received excellent academic degrees in engineering, natural sciences, computer science, or mathematics and have acquired profound experience in one or more academic fields related to simulation and data science.

Review of applications will continue until the positions are filled. Please submit your application by e-mail to jobs@simtech.uni-stuttgart.de with a single PDF attachment comprising

  • cover and motivation letter,
  • academic CV,
  • list of publications,
  • 3-page description of past and future research activities,
  • degree certificates and
  • transcripts of records from Bachelor/Master/PhD degrees.

Applications and two reference letters should be addressed to Prof. Dr. Thomas Ertl, Stuttgart Center for Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart. Further information and an application form can be found here: https://www.simtech.uni-stuttgart.de/contact-jobs/. Please be aware of the risks regarding confidentiality and the integrity of your application contents when sending your application via unencrypted e-mail.

The University of Stuttgart is an equal opportunity employer. Applications by women are strongly encouraged. Severely challenged persons will be given preference in the case of equal qualifications. The University of Stuttgart has established a Dual Career Program to assist the partners of those moving to Stuttgart. For more information, please visit the website: https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/.

Information on how the University protects personal data in accordance with Article 13 of the GDPR can be found under the following link: https://www.uni-stuttgart.de/en/privacy-notice/job-application/.

Application Form

PhD Positions

There are currently no vaccancies.

Student Jobs

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, in order to take the usability, precision and reliability of simulations to a new level.

We currently offer a position as

Student Assistant (m/f/d)
At the earliest possible date | 20 hrs per mont

At our workgroup for Bayesian Statistics at SimTech, we are currently working on topics centered around Bayesian model building and evaluation. The Bayesian approach to data analysis provides a consistent and flexible way to handle uncertainty in all observations, model parameters, and model structure using probability theory. However, building Bayesian models in a principled way remains a highly complex task requiring a lot of expertise and cognitive resources. To this end, we develop a machine assisted workflow for building interpretable, robust, and well-predicting Bayesian models.

You will be part of the team that develops the wide-spread open-source software for Bayesian modeling. After an initial start-up phase, we fully include working students into our development team, where we share common responsibilities, such as coding, code review, software testing (CI), documentation, and user support. We are looking for a long-term commitment. The longer you stay, the more challenging your tasks get and the more freedom you get to decide in which direction the software will develop.

Your tasks:

  • Assist faculty members in the development of software, mainly written in R. This will include
    • Writing documentation and tests for the code
    • Participation in the planning and implementation of new features
    • Assisting in finding new approaches for arising challenges

Your qualifications:

  • You are studying at the University of Stuttgart in Computer Science, Mathematics, Mechanical Engineering, Physics, SimTech, or similar programs
  • Basic software development experience
  • Fundamental proficiency in R and Git
  • Experience with (Bayesian) statistics could be helpful but is not necessary
  • Fluency in English

We offer:

  • Insights into the daily routine of research
  • Support in the further development of your software development and statistics skills
  • The opportunity to get involved and participate in the projects yourself
  • An inspirational and supportive work environment in a well-connected research group at the Cluster of Excellence SimTech
  • Learn from highly experienced open-source developers
  • Work with state-of-the-art software development tools and methods

Please submit your complete application (one-page motivation letter, academic CV, degree certificates incl. transcript of records) in one single pdf file until August 31, 2021 via e-mail to Paul Bürkner (paul-christian.buerkner@simtech.uni-stuttgart.de). If you have any questions, do not hesitate to contact us.


The University of Stuttgart is an equal opportunity employer. We highly encourage applications from underrepresented groups, explicitly (but not exclusively) first-generation students, women, immigrants, parents, POC, LGBT*IQ. Severely challenged persons will be given preference in case of equal qualifications.

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.

Information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: www.uni-stuttgart.de/en/privacy-notice/job-application.

We currently have an opening for a

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

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.

Your tasks:
Short-term
    • Improve Online-Material for Lecture “Signal processing and Analysis of human brain potentials (EEG)”, preparing them for public release
    • Prepare educational graphics for CC-by public license
    • Cleanup EEG Exercises & Solutions
    • Help to setup the EEG lab (order & selection of hardware)
    • Generate pptx-templates for the lecture & group

Long-term

    • Once COVID allows: Record EEG data
    • Once COVID allows: Lab-manager duties
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
    and
  • are fluent in English and (ideally) 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!

Please submit your application (including your curriculum vitae, most recent grade transcript and short 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.


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.

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.

 

Job offer (Download)

Jobs at other institutions

Am Institut für Statik und Dynamik der Luft- und Raumfahrtkonstruktionen in der Fakultät Luft- und Raumfahrttechnik und Geodäsie der Universität Stuttgart ist zum nächstmöglichen Zeitpunkt eine Stelle als

wissenschaftliche Mitarbeiterin/wissenschaftlicher Mitarbeiter

im Umfang von 100 % der regelmäßigen Arbeitszeit mit Vergütung nach TV-L E13 zu besetzen.

Es handelt sich um eine Qualifizierungsstelle im Sinne des Wissenschaftszeitvertragsgesetzes (WissZeitVG), die zur Förderung von Promotionsverfahren im Bereich der Mechanik, Statik und Dynamik dient. Die Stelle ist zunächst auf einen Zeitraum von 3 Jahren befristet. Eine Verlängerung zum Abschluss der Promotion ist innerhalb der Befristungsgrenzen des WissZeitVG möglich.

Die Anstellung erfolgt im Rahmen der DFG-Forschungsgruppe 5151 – „Quantifying Liver Perfusion-Function Relationship in Complex Resection – A Systems Medicine Approach (QuaLiPerF)“ (https://qualiperf.de/). Diese befasst sich mit der Quantifizierung und Untersuchung der Wechselwirkung zwischen Deformation, Perfusion und Funktion in der gesunden und geschädigten menschlichen Leber. Die interdisziplinäre Forschungsgruppe vereint die Gebiete der Kontinuumsbiomechanik, Systembiologie, Bioinformatik, experimentelle Chirurgie, Hepatologie und Bildgebung.

Das TP P7, worüber die  ausgeschriebene Stelle finanziert wird, befasst sich mit einem mehrskaligen, kontinuumbiomechanischen Modell des Leberläppchens mit Integration experimenteller und klinischer Daten.

Das erwartet Sie:

  • Mitarbeit in der interdisziplinären Forschungsgruppe 5151 – „QuaLiPerF“ mit dem Ziel der Erweiterung eines kontinuumbiomechanischen Modells zur Beschreibung von Deformations-Perfusions-Funktionsbeziehungen in Leberläppchen
  • Entwicklung eines datengetriebenen Ansatzes zur Integration experimenteller und klinischer Daten in eine Finite-Element-Methode-Simulation (FEM)
  • Entwicklung eines Mehrskalenansatzes durch Kopplung verschiedener Modelle
  • Interdisziplinäre Arbeit mit Wissenschaftler/innen unterschiedlicher Forschungsbereiche (Ingenieurwissenschaften, Naturwissenschaften, Medizin)
  • Teilnahme am Qualifizierungs- und Mentoringprogramm der Forschungsgruppe
  • Teilnahme an nationalen und internationalen Tagungen zur Förderung des fachlichen Austauschs
  • Mitwirkung in der Lehre (Unterstützung der Vorlesungen und Seminare, eigenverantwortliches Halten von Übungen sowie Mitwirkung bei Prüfungsangelegenheiten)
  • Betreuung der Studierenden, u.a. Bachelor-/Masterarbeiten
  • Möglichkeit der Promotion ist gegeben

Anforderungsprofil:

  • Abgeschlossenes Hochschulstudium (Diplom oder Master) im Bereich Ingenieurwissenschaften, vorzugsweise der Fachrichtungen Luft- und Raumfahrt, Bauingenieurwesen, Maschinenbau, Mathematik, Physik, Technomathematik, Computational Mechanics, Computational Engineering oder vergleichbar
  • Sehr gute Kenntnisse der Technischen Mechanik und/oder Statik
  • Programmiererfahrung
  • Erfahrung in den folgenden Bereichen: FEM, Kontinuumsmechanik, Materialtheorie, Homogenisierung, Mehrskalenmodellierung, Biomechanik, Prozesssimulation
  • Teamarbeit und interdisziplinäre Denkweise
  • Sicheres Auftreten, guter Präsentationsstil
  • Sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift

Senden Sie Ihre vollständigen Bewerbungsunterlagen mit Lebenslauf, Zeugnissen, Notenliste (Master und Bachelor) vorzugsweise per E-Mail an:

Prof. Dr.-Ing. Tim Ricken
Institut für Statik und Dynamik der Luft- und Raumfahrtkonstruktionen
Fakultät Luft- und Raumfahrttechnik und Geodäsie
Universität Stuttgart
Pfaffenwaldring 27
70569 Stuttgart
office@isd.uni-stuttgart.de

Bitte senden Sie uns Ihre Bewerbung per E-Mail in einer pdf-Datei, in der Anschreiben, Lebenslauf, Zeugnisse und ggf. weitere Unterlagen zusammengefasst sind. Sollte Ihnen dies nicht möglich sein, können Sie uns Ihre Bewerbung auch in Papierform zukommen lassen. Bitte beachten Sie, dass wir Bewerbungsunterlagen leider nicht zurücksenden können. Reichen Sie bitte deshalb keine Originalurkunden ein, da wir die Bewerbungsunterlagen nach Abschluss des Verfahrens datenschutzgerecht vernichten werden.

Die Universität Stuttgart möchte den Anteil der Frauen im wissenschaftlichen Bereich erhöhen und ist deshalb an Bewerbungen von Frauen besonders interessiert. Schwerbehinderte werden bei gleicher Eignung vorrangig eingestellt. Die Einstellung erfolgt durch die Zentrale Verwaltung.

 

Link zur Stellenausschreibung

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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