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

A fully funded PhD position is available at Ludwig Maximilians University Hospital Munich, Germany, as part of the Marie Skłodowska-Curie Doctoral Network ENDOTRAIN (DC5). The project focuses on the use of wearables and biosensors for out-of-hospital diagnosis and monitoring of primary aldosteronism, integrating digital health, endocrinology, and biomedical engineering. The position is coordinated by the University of Bergen and offers a unique opportunity to join Europe’s first doctoral network in digital endocrinology, which brings together AI, sensor technology, omics, and clinical medicine to advance diagnosis and treatment of adrenal diseases.

The successful candidate will work within Work Package 1: Hormone Dynamics, optimizing diagnosis of primary aldosteronism using real-world, continuous physiological and hormonal data streams. Key activities include dynamic hormone profiling (e.g., U-RHYTHM), deploying next-generation biosensors for ambulatory patient assessment, conducting structured clinical phenotyping under varying salt intake and daily stressors, and integrating wearable-derived physiological data (activity, heart rate, temperature) with endocrine test outcomes to identify diagnostic patterns. The project contributes to multimodal datasets for developing digital diagnostic tools in endocrinology.

Research fields covered include endocrinology, chronobiology, digital health, medical sensors, systems physiology, and internal medicine. The position offers secondments at University of Ulm (algorithm development for wearable data), University of Manchester, and University of Bristol (mathematical modelling of hormone rhythms), providing international exposure and interdisciplinary training.

Applicants must hold a Master’s degree in Medicine, Biomedical Sciences, Physiology, Bioengineering, or a related field, and demonstrate 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 criteria include not having resided or carried out a main activity in Germany for more than 12 months in the past 36 months before the PhD start date, and not already holding a doctoral degree. Diversity and inclusion are core values of the programme, with encouragement for women, people with immigrant backgrounds, and people with disabilities to apply.

The position is funded according to German Research Foundation (DFG) regulations (E13 Stufe 2), with full social security coverage, travel and secondment budget, and opportunities for international networking and career development. The PhD programme is structured within the Faculty of Medicine at LMU Munich, a leading European research institution.

Application deadline is 15th February 2026. Applications must be submitted via the Jobbnorge portal, including application form, CV, mobility declaration, motivation letter, and transcripts of diplomas in English. If the master's degree is pending, a statement from the institution confirming the expected award date is required. For informal inquiries, contact Prof. Nicole Reisch or Prof. Martin Reincke. For programme questions, contact Programme Manager Elizabeth Farmer.