Academic employee - post-doc : AI in women’s health (m/f/d) - Institute of Biomedical Engineeri[...]

Universität Ulm; Ulm; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

A leading university is seeking a post-doc in AI for women’s health. The role involves pioneering research, mentoring students, and collaborating with healthcare professionals. Candidates should have a PhD and strong skills in machine learning. Join us in shaping the future of women's health technology!

Leistungen

Competitive salary

Interdisciplinary setting

Supportive working environment

Strong prospects for academic growth

Qualifikationen

• Proven experience in conducting biomedical research projects.
• Strong background in processing sensor data using machine learning.

Aufgaben

• Conduct pioneering research in remote monitoring of women’s health.
• Lead and mentor a team of student researchers.

Kenntnisse

Problem Solving

Communication

Teamwork

Ausbildung

PhD in Biomedical Engineering

PhD in Computer Engineering

PhD in Computer Science

Tools

Machine Learning

Artificial Intelligence

Jobbeschreibung

> Scope: Fulltime

> Temporary: 2 years

> Remuneration: TV-L 13

> Start: as early as possible

The Institute of Biomedical Engineering is offering an

Academic employee - post-doc: AI in women’s health (m/f/d)

We seek to increase the proportion of women in research and teaching and particularly encourage qualified female scientists to apply for this position.

Severely disabled applicants with equal aptitude will be given preferential consideration.

Full-time positions are generally divisible.

The Institute of Biomedical Engineering conducts research at the intersection of medical wearables, artificial intelligence, and remote health monitoring, driving innovation to improve patient outcomes. With this position, we are expanding our research into the critically underexplored area of women’s health. Our goal is to pioneer developments in wearable technology that integrate algorithm design, machine learning-based data analysis, and personalized interventions. By examining how hormonal patterns interact with sleep, nutrition, mood, and daily activities, we aim to uncover individual phenotypes and enable more personalized health care. We are also committed to fostering awareness of this vital topic within the university community, particularly in the education and training of future biomedical engineers.

Your profile:

• PhD in Biomedical Engineering, Computer Engineering, Computer Science, or a closely related field
• Proven experience in conducting and managing biomedical research projects, ideally involving human participants
• Strong background in processing sensor data using machine learning and artificial intelligence techniques
• A clear interest in women’s health, hormone physiology, circadian and ultradian rhythms, and wearable technologies
• Excellent problem-solving abilities, with a demonstrated capacity to contribute to cutting-edge research, secure external funding, and effectively disseminate findings
• Outstanding written and verbal communication skills in English; proficiency in German is an asset
• Experience in teaching and supervising students at the undergraduate and/or postgraduate level
• A collaborative, team-oriented mindset with strong interpersonal skills to guide students and work effectively within a multidisciplinary research and clinical environment
  
  

Your responsibilities:

Within the postdoc phase:

• Conduct pioneering research in the remote monitoring of women’s health, with a focus on biosignal analysis across the female cycle
• Lead and mentor a small team of student researchers in developing innovative analytical approaches
• Collaborate closely with healthcare professionals and clinical scientists to ensure clinical relevance and real-world impact
• Disseminate research findings through high-quality publications, conference presentations, and other scholarly outputs
• Contribute to securing third-party funding to support and expand the research group
• Integrate research insights into teaching activities within the BSc and MSc Biomedical Engineering programs
  
  

We offer:

• A unique opportunity to shape and lead an innovative research direction within the institute and broader university community
• Close collaboration with leading academics and recognized experts in wearable technology and endocrinology
• A vibrant, supportive, and collaborative working environment within a dynamic and expanding research team
• An interdisciplinary setting that fosters cutting-edge, innovative research
• Strong prospects for academic growth and long-term career development
• A competitive salary, aligned with German university pay scales and regulations
• Please attach the following documents to your application: a motivation letter, a complete CV, academic transcripts, and a list of two references with their contact details.
  
  

The university and what we offer:https://www.uni-ulm.de/en/einrichtungen/zuv/dezernat-3/job-portal/

Seize the opportunity and join us in shaping the future!**

> Referenz-no.: 25065 > Application deadline: 08.06.2025

Hiring is done by the Central University Administration.

Your contact for further information:

Walter Karlen, phone [phone]

We look forward to your application via our

online application portal