The CITEC (Center for Cognitive Interaction Technology) has the following job opening: 
The employment is conducive to scientific qualification.
Research Position (Postdoc) for machine learning, deep learning, efficient artificial intelligence
ID: Wiss25032
- starting: as soon as possible
- Teilzeit 75 %
- salary according to Remuneration level 13 TV-L
- befristet
The "Nachhaltige AI" research group led by Junior Professor Dr. David Kappel is identifying the mechanisms that enable the remarkable energy efficiency of biological brains.
The research group identifies the mechanisms that enable the remarkable energy efficiency of biological brains and explores new approaches to significantly reduce the energy consumption of machine learning using hybrid ML/bio-inspired models.
We are looking for a motivated and talented candidate to join a dynamic research team investigating efficient and scalable large-scale language models. The work offers a unique opportunity to build a foundation for sustainable artificial intelligence as part of the ESCADE research project (Energieeffiziente groß angelegte künstliche Intelligenz für nachhaltige Rechenzentren).
The project started in May 2023 and is funded by the German Federal Ministry of Economics and Climate Protection (BMWK). The aim of the project is to develop modern, large-scale, distributed and energy-efficient machine learning models for complex tasks such as natural language processing. For more information, please visit the ESCADE project website escade-project.de.
The research group identifies the mechanisms that enable the remarkable energy efficiency of biological brains and explores new approaches to significantly reduce the energy consumption of machine learning using hybrid ML/bio-inspired models.
We are looking for a motivated and talented candidate to join a dynamic research team investigating efficient and scalable large-scale language models. The work offers a unique opportunity to build a foundation for sustainable artificial intelligence as part of the ESCADE research project (Energieeffiziente groß angelegte künstliche Intelligenz für nachhaltige Rechenzentren).
The project started in May 2023 and is funded by the German Federal Ministry of Economics and Climate Protection (BMWK). The aim of the project is to develop modern, large-scale, distributed and energy-efficient machine learning models for complex tasks such as natural language processing. For more information, please visit the ESCADE project website escade-project.de.
Your Tasks
- research tasks (100 %)
- scientific research, in particular research and development of efficient, large language models- Implementation and development of large and efficient language models (OPT, BERT, etc.) in Python and/or C++
- carrying out simulations, hyperparameter searches and ablation studies for the developed models on distributed high-performance computers (HPC clusters)
- analysing the experimental results using statistical methods (F1 score, etc.)
- mathematical analysis of the developed algorithms (fixed point analysis, convergence proofs, etc.)
The employment is conducive to scientific qualification.
We offer
- salary according to Remuneration level 13 TV-L
- befristet 30.04.2026 (§ 2 Abs. 1 Satz 2 WissZeitVG; in accordance with the provisions of the WissZeitVG and the agreement on good employment conditions, a different contract term may apply in individual cases)
- Teilzeit 75 %
- fulltime
- internal and external training opportunities
- variety of health, consulting and prevention
- services
- reconcilability of family and work
- flexible working hours
- job ticket for regional public transport network,
- good transport connection
- supplementary company pension
- collegial working environment
- open and pleasant working atmosphere
- exciting, varied tasks
- modern work environment with digital processes
Your Profile
We expect
- completed university degree in computer science or a related field of study
- completed doctorate in computer science, physics, mathematics or equivalent doctorate
- advanced knowledge of Python
- experience in working with ML libraries, such as Pytorch, Tensorflow, etc.
- independent, self-motivated and committed work ethic
- strong organisational and coordination skills
- cooperative and team-oriented working style
Preferred experience and skills
- publication activity in the field of machine learning, machine language processing and AI
- research activity in the field of efficient machine learning, language modelling or brain-inspired machine learning
- attendance at international conferences in the field of AI and machine learning
- experience in the simulation of large language models
- experience with high performance computing
- interest in solving complex mathematical problems in the field of AI
Application Procedure
We are looking forward to receiving your application. To apply, please preferably use our online form via the application button below.
application deadline: 10.04.2025
Contact
Max Gehle
+49 521 106-86303
max.gehle@uni-bielefeld.de
Postal Address
Universität Bielefeld
Technische Fakultät, CITEC
Jun.-Prof. Dr. David Kappel
Postfach 10 01 31
33501 Bielefeld
Max Gehle
+49 521 106-86303
max.gehle@uni-bielefeld.de
Postal Address
Universität Bielefeld
Technische Fakultät, CITEC
Jun.-Prof. Dr. David Kappel
Postfach 10 01 31
33501 Bielefeld
Bielefeld University has received a number of awards for its achievements as an equal-opportunity employer and has been
recognized as a family-friendly university. The university welcomes applications from women. This is particularly true with regard
both to academic and technical posts as well as positions in information technology as well as the skilled crafts and trades.
Applications are handled according to the provisions of the state statutes on equal opportunity. Applications from suitably qualified
handicapped and severely handicapped persons are explicitly encouraged.
At Bielefeld University on request positions can be carried out with reduced working hours as long as this does not conflict with official needs.
