This fully funded PhD position is offered at Ludwig Maximilian University of Munich within the ENDOTRAIN MSCA Doctoral Network, focusing on the use of wearables and biosensors for out-of-hospital diagnosis and monitoring of primary aldosteronism. The project is embedded in Work Package 1: Hormone Dynamics and aims to optimize the diagnosis of primary aldosteronism by leveraging real-world, continuous physiological and hormonal data streams, with a particular emphasis on chronobiologic steroid rhythmicity and environmental challenges such as salt intake. Key research activities include dynamic hormone profiling (e.g., U-RHYTHM), deploying next-generation biosensors for ambulatory patient assessment, conducting structured clinical phenotyping with endocrine diagnostics under varying salt intake and daily life stressors, and integrating wearable-derived physiological data (activity, heart rate, temperature) with endocrine test outcomes to identify diagnostic patterns. The candidate will contribute to multimodal datasets that support the broader development of digital diagnostic tools in endocrinology. The research fields span endocrinology, chronobiology, digital health, medical sensors, systems physiology, and internal medicine. The project offers suggested secondments at the University of Ulm (algorithm development for wearable data), University of Manchester, and University of Bristol (mathematical modelling of hormone rhythms), providing opportunities for international collaboration and skill development. Doctoral candidates will be enrolled in the structured PhD programme of the LMU Faculty of Medicine and participate in interdisciplinary training activities across the ENDOTRAIN network, including workshops, retreats, transferable skills courses, and cohort-wide meetings throughout Europe. The position is for three years, with the possibility of extension, and must be started by August 2026 at the latest. Eligibility requires 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 an interest in wearable data analysis are advantageous. Applicants must have excellent English language skills, strong communication abilities, and a capacity for interdisciplinary collaboration. Importantly, candidates must not have resided or carried out their main activity in Germany for more than 12 months in the 36 months immediately before recruitment and must meet LMU Munich PhD eligibility criteria. Funding includes a competitive salary according to German Research Foundation (DFG) regulations, full social security coverage in Germany, and a travel and secondment budget. The programme also offers opportunities for international networking, industry exposure, and career development. Applications are accepted exclusively through the Jobbnorge portal, with mandatory attachments required. For further details and to apply, visit the project page and the ENDOTRAIN Doctoral Training Network website.

This fully funded PhD position is offered at Ludwig Maximilian University of Munich as part of the ENDOTRAIN MSCA Doctoral Network, focusing on the use of wearables and biosensors for out-of-hospital diagnosis and monitoring of adrenal insufficiency. The project is embedded within Work Package 1: Hormone Dynamics, aiming to optimize therapy monitoring and individualized treatment for patients with primary adrenal insufficiency. The research leverages dynamic hormone profiling (such as U-RHYTHM) and next-generation biosensors to enable ambulatory assessment, integrating wearable-derived physiological data (activity, heart rate, temperature) with endocrine test outcomes to enhance therapeutic monitoring. Key activities include structured clinical phenotyping, endocrine diagnostics, and monitoring during physiologic stressors of daily life. The candidate will contribute to multimodal datasets that support the development of digital diagnostic tools in endocrinology. The project offers opportunities for secondments at the University of Ulm (algorithm development for wearable data), University of Manchester, and University of Bristol (mathematical modelling of hormone rhythms). Doctoral candidates will be enrolled in the structured PhD programme at LMU Munich's Faculty of Medicine and participate in interdisciplinary training through the ENDOTRAIN network, including workshops, retreats, transferable skills courses, and cohort-wide meetings across Europe. The position is open to highly motivated candidates with a Master’s degree in Medicine, Biomedical Sciences, Physiology, Bioengineering, or related fields. Applicants should have a strong interest in translational endocrinology and digital health technologies, with basic programming or data science skills (R, Python) considered an asset. Excellent English language skills and the ability to collaborate across disciplines are required. Eligibility criteria include not having resided or carried out main activities in Germany for more than 12 months in the 36 months prior to recruitment. The position offers a competitive salary according to German Research Foundation (DFG) regulations, full social security coverage, and a travel and secondment budget. The application deadline is February 15, 2026, with a latest start date in August 2026. Applications must be submitted via the Jobbnorge portal with all mandatory attachments. For more information, visit the project and supervisor pages linked above.