Research Assistant Institute of Data Science​/Sa

Organisation/Company University of Greifswald Department Human Resources Research Field Information science Researcher Profile First Stage Researcher (R1) Positions Master Positions Final date to receive applications 15 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

At the University of Greifswald’s Institute of Data Science
in the Faculty of Mathematics and Natural Sciences, there is a job vacancy from1 April 2026
,subject to the allocation of funds, for a full-time
Research Assistant.

The position is to be filled for a limited period of 36 months
. Payment will be made according to pay group 13 TV‑L Wissenschaft. The position is suitable for part-time employment.

Germany is undergoing profound demographic change, characterised by an ageing population and declining birth rates. This development is accompanied by an increase in age-related chronic diseases – and thus a significant growth in the need for long-term care. The increase in cognitive impairments such as mild cognitive impairment and dementia, which require a high level of care, is particularly serious. At the same time, the shortage of nursing staff is reaching alarming proportions.

In view of these challenges, innovative solutions are needed.

The BehAIve project will make a promising contribution in this area. It aims to develop an AI-supported, situation-adaptive system to support older people in their everyday lives or geriatric patients during hospital stays. Continuous monitoring using sensors will analyse subjects' behaviour, identify problematic behaviours and offer targeted support where necessary. This can significantly improve the quality of life of people with cognitive impairments or geriatric patients – while also reducing the workload of nursing staff.

The sub-project ‘Multimodal Behaviour Analysis and Interaction’ deals with the development and implementation of methods for automatic knowledge extraction, multimodal behaviour analysis and language-based interaction.

Job Description:
The research assistant in the project ‘Multimodal Behaviour Analysis and Interaction’ will have the following responsibilities:

• Development of methods for automatic knowledge extraction and learning of planning models from textual data
• Development of hybrid machine learning models for activity and situation recognition from sensor data
• Development of multimodal sensor systems for the recording of human behaviour
• Publication of the obtained results in scientific journals and conferences

Job Requirements:
We invite applications from highly motivated candidates with above-average qualifications, passion for and experience in research, and the willingness to actively participate in an interdisciplinary and international research environment. Successful applicants should have:

• University degree (master’s or comparable) in artificial intelligence, data science or another related discipline, by the time employment starts
• Practical experience in machine learning, especially deep learning and its practical application in the domain of sensor analysis
• Practical experience with multimodal sensor systems
• Practical experience in the field of natural language processing, especially large language models, prompt engineering, fine tuning, retrieval augmented generation (RAG), and Graph
  
  RAG approaches
• Hands on experience with Python
• Excellent English language skills, and
• Motivation to join an interdisciplinary and international research environment.

This vacancy is open to all persons, irrespective of gender. Severely disabled applicants with the same qualifications will be considered with preference.

In accordance with § 68(3) PersVG M-V, the Staff Council will only be involved in staff matters of the academic or artistic staff on request.

Unfortunately, application costs (e.g. travel expenses for interviews) will not be reimbursed by the state of Mecklenburg-Vorpommern.

Please note that by submitting your application, you provide your consent pursuant to data protection law for our processing of your application data. Further information about the legal bases and the use of your data can be found here.

Applications comprising all usual documents must be sent with reference to the job advertisement number
26/Sa03
by 15 February 2026
, preferably via email (one PDF file), to:

sekretariat-d