Publisher
source

Martin Reincke

3 months ago

PhD Position in Wearables & Biosensors for Out-of-Hospital Diagnosis and Monitoring of Primary Aldosteronism (ENDOTRAIN DC5) Ludwig Maximilians University Hospital Munich in Germany

Degree Level

PhD

Field of study

Data Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

Germany

University

University Hospital, LMU Munich

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Where to contact

Official Email

Keywords

Data Science
Biomedical Engineering
Endocrinology
Biology
Chronobiology
Mathematical Modeling
Translational Medicine
Wearable Technology
Digital Health
Medical Science
Clinical Phenotyping
Biosensor

About this position

This PhD position at Ludwig Maximilians University Hospital Munich, Germany, is part of the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN), funded by the European Commission and coordinated by the University of Bergen. The project focuses on Wearables & Biosensors for Out-of-Hospital Diagnosis and Monitoring of Primary Aldosteronism, integrating digital health, endocrinology, and biosensor technology to advance personalized medicine.

As a doctoral researcher, you will join Europe’s first doctoral network in digital endocrinology, which brings together AI, sensor technology, omics, and clinical medicine to transform the diagnosis and treatment of adrenal diseases. The programme aims to train interdisciplinary experts who merge clinical endocrinology, data science, engineering, ethics, and law into an integrated field of digital endocrinology. The research will use adrenal disorders as a case study for advancing digital health in Europe.

The project is part of Work Package 1: Hormone Dynamics, focusing on optimizing the diagnosis of primary aldosteronism using real-world, continuous physiological and hormonal data streams. You will leverage dynamic hormone profiling (e.g., U-RHYTHM) and next-generation biosensors for ambulatory assessment, conduct structured clinical phenotyping during varying salt intake and daily life stressors, and integrate wearable-derived physiological data (activity, heart rate, temperature) with endocrine test outcomes to identify diagnostic patterns. Your work will contribute to multimodal datasets for developing digital diagnostic tools in endocrinology.

Secondments are included at the University of Ulm (Germany) for wearable data algorithms, and at the Universities of Manchester and Bristol (UK) for mathematical modelling of hormone rhythms, providing international exposure and networking opportunities.

Applicants must have a Master’s degree in Medicine, Biomedical Sciences, Physiology, Bioengineering, or a related field, with a strong interest in translational endocrinology and digital health technologies. Basic programming or data science skills (R, Python) and interest in wearable data analysis are advantageous. Excellent English proficiency and communication skills are required. Eligibility follows MSCA Doctoral Network rules: applicants must not have resided or carried out a main activity in Germany for more than 12 months in the past 36 months before the PhD start date, must not already hold a doctoral degree, and must provide documentation of their awarded master's degree or a statement of expected completion before the position start date.

The position offers a competitive salary according to German Research Foundation (DFG) regulations (E13 Stufe 2), full social security coverage, and a travel and secondment budget. The structured PhD programme is hosted by the Faculty of Medicine at LMU Munich, one of Europe’s leading research centers in university medicine.

To apply, submit your application via the Jobbnorge portal, including the mandatory attachments from the ENDOTRAIN webpages: application form, CV, mobility declaration, and motivation letter. Upload transcripts of diplomas in English. If your master's degree is pending, provide a statement from your institution confirming the expected award date. For further details, visit the programme and position webpages.

Diversity and inclusion are core values of the MSCA ENDOTRAIN network, with a gender equality plan and encouragement for women, people with immigrant backgrounds, and people with disabilities to apply. The network aims to train creative, entrepreneurial, and resilient doctoral candidates able to convert knowledge and ideas into products and services for economic and social benefit.

For informal inquiries, contact Prof. Nicole Reisch or Prof. Martin Reincke. The application deadline is 15th February 2026, and the latest possible start date is August 2026. This is a full-time, fixed-term position based in Munich, Germany.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors