Junior Research Group Leader (Georg-August-Universität Göttingen)

At the University of Göttingen -Public Law Foundation-, Institut für Informatik - Abteilung Maschinelles Lernen, there is a position as Junior Research Group Leader UGOE/(CAIMed) (all genders welcome) Entgeltgruppe 14 TV-L/100% to be filled. Starting date is as soon as possible. The position is initially limited to three years with the possibility of extension for an additional year, subject to continued funding by third-party sponsors. This position in the field of data-driven system models/digital twins for medicine and life sciences is to be filled in cooperation with GEORG AUGUST UNIVERSITY OF GÖTTINGEN and the Lower Saxony Research Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed). We are looking for a committed and outstanding junior research group leader for the newly established research group “Data-driven Digital Twins.” Junior Research Group Resources: Funding for two staff members (TV-L E13, 100%) for three years each Budget for travel and other costs Administrative support through the central CAIMed office in Göttingen Access to the excellent research infrastructure of the Göttingen Campus Research Focus The research group will focus on modern AI methods for generating digital twins from biological and medical data. The goal is to contribute to knowledge generation in the life sciences through innovative approaches. Possible (but not exclusive) research areas may include: Development of data-driven models of biological and medical systems Integration of simulation methods with machine learning and AI Hybrid modeling approaches that combine biophysical or biomechanical knowledge with data-driven methods Applications in personalized medicine and precision diagnostics Thematic alignment with the CAIMed center (https://caimed.de) as well as the Göttingen research landscape (CIDAS, EKFZ for optogenetic therapies, University Medical Center Göttingen) is desired. Your Profile Technical Qualifications: Completed university degree in computer science, mathematics, physics, computational neuroscience, biomedical engineering, or related disciplines. A completed or nearly completed doctorate in one of the above-mentioned fields is an advantage. Excellent publication record (relative to academic age) in leading international journals and/or conferences Demonstrated expertise in at least one of the following areas: Deep Learning and modern AI architectures Computational Modeling and Simulation Physics-informed Machine Learning Data-driven biophysical or biomechanical modeling Neural Differential Equations or similar hybrid approaches Biological or medical data analysis Personal Competencies: Strong motivation to build and lead an independent research group Enthusiasm for interdisciplinary collaboration Team skills and leadership competence Excellent communication skills in English Commitment to supervising and mentoring doctoral students We offer: An outstanding scientific environment with access to state-of-the-art computing infrastructure Integration into the interdisciplinary CAIMed network with partners from computer science, medicine, and life sciences Opportunity for close collaboration with the Campus Institute Data Science (CIDAS), University Medical Center Göttingen, German Primate Center, several Max Planck Institutes, and the EKFZ for optogenetic therapies Opportunities to actively participate in the strategic development of the CAIMed center Support in acquiring third-party funding and building international collaborations A family-friendly work environment with flexible working time models The benefits of a historic university town with high quality of life About CAIMed The Lower Saxony Research Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed) is a newly founded interdisciplinary research center with the goal of achieving breakthroughs in medical research and clinical practice through innovative AI methods and causal inference. CAIMed connects expertise from computer science, mathematics, medicine, and life sciences at the Göttingen and Hannover sites. Your application should contain the following documents: Cover letter presenting your research vision CV with complete publication list Brief description of previous and planned research activities (max. 3 pages) Contact details of two referees Copies of relevant certificates and diplomas For technical inquiries, please contact: Prof. Dr. Fabian Sinz (sinz@uni-goettingen.de) The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant. Please upload your application in one pdf file including the usual documents until 1/31/2026 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76270. For more information get in touch with Fabian Sinz directly via E-Mail: sinz@uni-goettingen.de, Tel. +49 551 39 21256 . Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR) PDF-Download Click here for the PDF-Download If you apply for this position please say you saw it on Computeroxy

At the University of Göttingen -Public Law Foundation-, Institut für Informatik - Abteilung Maschinelles Lernen, there is a position as

Junior Research Group Leader UGOE/(CAIMed) (all genders welcome)
Entgeltgruppe 14 TV-L/100%

to be filled. Starting date is as soon as possible. The position is initially limited to three years with the possibility of extension for an additional year, subject to continued funding by third-party sponsors.

This position in the field of data-driven system models/digital twins for medicine and life sciences is to be filled in cooperation with GEORG AUGUST UNIVERSITY OF GÖTTINGEN and the Lower Saxony Research Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed). We are looking for a committed and outstanding junior research group leader for the newly established research group “Data-driven Digital Twins.”

Junior Research Group Resources:

Funding for two staff members (TV-L E13, 100%) for three years each
Budget for travel and other costs
Administrative support through the central CAIMed office in Göttingen
Access to the excellent research infrastructure of the Göttingen Campus

Research Focus

The research group will focus on modern AI methods for generating digital twins from biological and medical data. The goal is to contribute to knowledge generation in the life sciences through innovative approaches. Possible (but not exclusive) research areas may include:

Development of data-driven models of biological and medical systems
Integration of simulation methods with machine learning and AI
Hybrid modeling approaches that combine biophysical or biomechanical knowledge with data-driven methods
Applications in personalized medicine and precision diagnostics

Thematic alignment with the CAIMed center (https://caimed.de) as well as the Göttingen research landscape (CIDAS, EKFZ for optogenetic therapies, University Medical Center Göttingen) is desired.

Your Profile

Technical Qualifications:

Completed university degree in computer science, mathematics, physics, computational neuroscience, biomedical engineering, or related disciplines. A completed or nearly completed doctorate in one of the above-mentioned fields is an advantage.
Excellent publication record (relative to academic age) in leading international journals and/or conferences
Demonstrated expertise in at least one of the following areas:
- Deep Learning and modern AI architectures
- Computational Modeling and Simulation
- Physics-informed Machine Learning
- Data-driven biophysical or biomechanical modeling
- Neural Differential Equations or similar hybrid approaches
- Biological or medical data analysis

Personal Competencies:

Strong motivation to build and lead an independent research group
Enthusiasm for interdisciplinary collaboration
Team skills and leadership competence
Excellent communication skills in English
Commitment to supervising and mentoring doctoral students

We offer:

An outstanding scientific environment with access to state-of-the-art computing infrastructure
Integration into the interdisciplinary CAIMed network with partners from computer science, medicine, and life sciences
Opportunity for close collaboration with the Campus Institute Data Science (CIDAS), University Medical Center Göttingen, German Primate Center, several Max Planck Institutes, and the EKFZ for optogenetic therapies
Opportunities to actively participate in the strategic development of the CAIMed center
Support in acquiring third-party funding and building international collaborations
A family-friendly work environment with flexible working time models
The benefits of a historic university town with high quality of life

About CAIMed

The Lower Saxony Research Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed) is a newly founded interdisciplinary research center with the goal of achieving breakthroughs in medical research and clinical practice through innovative AI methods and causal inference. CAIMed connects expertise from computer science, mathematics, medicine, and life sciences at the Göttingen and Hannover sites.

Your application should contain the following documents:

Cover letter presenting your research vision
CV with complete publication list
Brief description of previous and planned research activities (max. 3 pages)
Contact details of two referees
Copies of relevant certificates and diplomas

For technical inquiries, please contact: Prof. Dr. Fabian Sinz (sinz@uni-goettingen.de)

The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant.

Please upload your application in one pdf file including the usual documents until 1/31/2026 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76270. For more information get in touch with Fabian Sinz directly via E-Mail: sinz@uni-goettingen.de, Tel. +49 551 39 21256 .

Please note:
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)