PhD student

Vor 4 Tagen

Hannover, Niedersachsen, Deutschland Medizinische Hochschule Hannover (MHH) Vollzeit


Peter L. Reichertz Institute for Medical Informatics
PhD student (f/d/m)

at the "Human-centered AI" Junior Research Group

The Hannover Medical School (MHH), with about employees the biggest company of Lower Saxony, is a university institution for research and teaching in the human and dental medicine and a university hospital of supra-maximum medical care. Research, teaching, medical care and administration work hand in hand in the integration model at the MHH-campus.

The MHH is one of the locations of the newly established Lower Saxony research center for artificial intelligence and causal methods in medicine – CAImed ). At CAImed, international teams research and develop innovative methods at the interface between AI and personalized medicine and contribute to tackling common diseases such as cancer, cardiovascular diseases and infections. CAImed at MHH offers a position as PhD student at the "Human-centered AI" Junior Research Group:

The position will be associated with the Peter L. Reichertz Institute for Medical Informatics (PLRI) of TU Braunschweig and MHH. PLRI, one of the largest medical informatics institutions in Germany, offers excellent research opportunities. The advertised position will be located on the MHH campus and will work closely with the radiology department and the data integration center of the MHH. We collaborate in interdisciplinary projects with health care centers, research institutes, enterprises and public organizations on a regional, national and global level.

Your tasks
  • Combine AI, data visualization and human-machine interaction to identify data relationships and patterns for clinical decision models
  • Propose new AI designs and provide key insights into data processing and modeling decisions
  • Manage the end-to-end process of data preparation, exploration, model generation and training, as well as model application
  • Design visual analytics methods for iterative and interactive analysis of complex data and evaluation of AI models
  • Analyze complex data from various experiments and design changes
  • Develop methods that make AI-based predictions understandable for developers, clinicians and patients
  • Collaborate with other CAImed research groups on applications such as oncology and infectious diseases
Our requirements
  • Obtained a Master's degree in the area of computer sciences, data science, information systems, medical informatics, bioinformatics, business informatics, mathematics or a comparable course of study
  • Strong research experience in (at least) one of the following fields: Visual analytics of medical data , AI-based medical image analysis, Clinical Decision Support Systems, Medical data science and/or knowledge engineering
  • Very good oral and writing skills in English; German language skills are advantageous
  • Willingness to work closely with an interdisciplinary project team
  • Initiative and result-orientated working style
  • Publication experience is a bonus
We offer
  • A full-time position with 38.5 hours per week, initially limited until 31 October 2028, with one of the largest employers in the state of Lower Saxony
  • Remuneration in accordance with TV-L with the benefits of the public sector (e.g. company pension scheme and additional insurance through VBL)
  • An exciting job at the interface of research, care and science management in a growing institute
  • Increased flexibility through partially mobile work or teleworking
  • Personal and professional development opportunities - supported by our wide range of internal and external training and development programmes
  • Very good public transport connections and a job ticket for local public transport
  • An excellent range of sports, counselling and prevention programmes - because your health is important to us
Interested applicants should submit a cover letter, CV, detailed bachelor and master transcripts and diploma certificates as a PDF file.

International applicants will need to complete a visa process before hiring can take place. The position is based at PLRI Campus Hannover and part of the PLRI research focus Health Information Systems ).

Stellenportal -->

You have any questions beforehand?

Dr. rer. nat. Zahra Ahmadi

Apply now

Reference number 2491

Apply until:

The MHH is certified as family-friendly university and stands for the promotion of women in the professional life. Applications of women are particularly welcome. Severely disabled applicants with equal qualifications are given preferential consideration.

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