Research Staff in the field Computational Biology

 

Nestled in a modern city surrounded by nature and with an exceptional standard of living, Leibniz University Hannover offers excellent working conditions in a vibrant scientific community.

Depressive disorders are among the most widespread psychiatric conditions in Europe, yet long-term treatment success remains a challenge due to the high heterogeneity of the disease. The integrated research platform “P4D”—a consortium of ten leading academic and clinical partners—aims to revolutionize the diagnosis, therapy, and prevention of depression through personalized, predictive, preventive, and precise medicine. As a key partner in this initiative, we focus on the intersection of molecular phenotyping and machine learning.

The Institute of Information Processing welcomes applications for the following position starting at the earliest possible date: Research Staff in the field Computational Biology (salary scale 13 TV-L, 100 %)

The fixed-term position is for a duration of 2 years. Within the scope of the position, there is the possibility of pursuing a doctorate.

Your role

• Work with diverse, multi-modal datasets, integrating genomic, transcriptomics, and clinical phenotyping data to build holistic models of disease.
• Develop machine learning models specifically optimized for biological data.and molecular structures.
• Implement causal learning frameworks to identify true mechanistic drivers of biological observations.
• Design deep learning methods to decode high-dimensional data, including single-cell (scRNA-seq) data.
• Translate results into robust clinical decision-support tools.
• Present research results at workshops, conferences, and in journals.
• Engage in scientific exchange and active collaboration with related research groups.

Who are we looking for?

We are seeking a highly motivated individual to join our BioAI Lab lead by Dr.-Ing. Jan Voges. If you are a dedicated and creative individual seeking to make a positive impact through your research, we encourage you to apply for our position. We will enable you to develop yourself professionally and personally through responsibility for scientific and industrial projects.

The successful candidate must hold a university science degree in Computer Science, Physics, Mathematics, Statistics, Bioinformatics, or a related discipline.

In addition, we are looking for a candidate with the following:

• Sound understanding of machine learning and computational biology.
• Advanced skills in Python and familiarity with machine learning frameworks (e.g., PyTorch).
• Excellent scientific writing and communication skills in English (German is an asset).

Equal opportunities and diversity are core values at Leibniz University Hannover. Our goal is to tap into individual potential and open up possibilities. We therefore welcome applications from anyone interested in the position, irrespective of gender, nationality, ethnic origin, religion or ideology, disability, age, sexual orientation and identity.

We strive towards a balanced and diverse workforce and a reduction in under-representation in accordance with the Lower Saxony Equal Rights Act (Niedersächsisches Gleichberechtigungsgesetz – NGG). We therefore also welcome applications from women for the above-mentioned position. Preference will be given to equally-qualified candidates with disabilities.

Why join us?

• A vibrant, creative research environment in an internationally visible team.
• Collaboration with top-tier international researchers and clinical partners.
• Participation in scientific workshops and conferences.
• Possibility to pursue a doctorate.

With more than 5.000 employees, Leibniz University Hannover is one of the largest and most attractive employers in the Hannover region. We offer a vibrant interdisciplinary and international working environment, and promote personal and professional development ranging from subject-related skills to leadership and languages.

Part-time employment as well as remote work (mobile work, work from home) can be arranged upon request. We support employees with balancing work and family life, through services such as back-up childcare, childcare during school holidays, and parent-child offices, as well as providing individual advice regarding family responsibilities and caring for dependants.

To promote health and well-being among employees, we offer an extensive sports programme with over 100 different sports, as well as a fitness centre with a sauna and climbing space. Health management measures, such as courses on stress management, good nutrition and relaxation, aim to ensure a healthy workplace.

 

Additional information

For further information, please contact Prof. Dr.-Ing. Jörn Ostermann (tel.: +49 (0)511 762-5316, email: ostermann@tnt.uni-hannover.de).