Nicole Reisch

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.

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.