PhD positions with ENDOTRAIN
ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital endocrinology. Interested in joining the team?
You will find detailed information about research possibilities and resources for each of the PhD positions ((S)DCs) linked from the table below under their work package areas.
More than one position caught your eye!?
Feel free to apply for up to 3 - just make sure you apply to each separately!
WP 1: HORMONE DYNAMICS
DC1: Optimized monitoring of patients with primary adrenal insufficiency - University i Bergen, Norway (UiB)
DC2: Omics in patients with primary adrenal insufficiency - Karolinska Institutet, Sweden (KI)
DC3: Wearables and Biosensors in Out-of-Hospital Diagnosis and Monitoring of Adrenal Insufficiency - Ludwig-Maximilians- Universität München, Germany (LMU)
DC4: Mapping rhythms of health: Salt-dependent regulation of aldosterone secretion by ACTH and angiotensin II - University of Bristol, U.K. (UBRIS)
DC5: Wearables and Biosensors in Out-of-Hospital Diagnosis and Monitoring of Primary Aldosteronism - Ludwig-Maximilians- Universität München, Germany (LMU)
DC6: Digital tools and biomarkers for the diagnosis and monitoring of patients with adrenal tumors – University of Athens & Evangelismos General Hospital
SDC16: Wearables and biosensors in out-of-hospital differential diagnosis of obesity and hypertension- Universitätsspital Zürich and Universität Zürich, Switzerland (UZH)
WP 2: TECHNOLOGIES FOR MULTIMODAL DATA
- Ambulatory real-time sensors
DC8: Real-time cortisol and aldosterone assay - Imperial College London, U.K. (IMPERIAL)
SDC18: Electrochemical Biomarker Sensing with Artificial Enzyme - Eidgenössische Technische Hochschule Zurich, Switzerland (ETHZ)
SDC19: Biofluid Sampling Technologies for Localized Physiological Measurements -Eidgenössische Technische Hochschule Zurich, Switzerland (ETHZ)
- Secure and ethical data handling
DC9 – Data Integrity for Digital Health & Medical Wearables - Universität Ulm, Germany (UULM)
- Patient-generated health data
DC7 – Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making - Adhera Health SL (Spain) & Universitetet i Bergen, Norway (UiB)
SDC17 – Wearable sensing in free-living environments to support differential diagnosis and prognosis of Obesity and Hypertension - Universitätsspital Zürich and Universität Zürich, Switzerland (UZH)
WP 3: MODELS AND ALGORITHMS
- Modelling hormone dynamics
DC10: Mathematical modelling of the cross-talk interactions between the HPA axis and the renin-angiotensin system - University of Manchester, UK
DC11: Mathematical modelling of sex-differences in the human adrenal cortex and its disorders - Universitetet i Bergen, Norway (UiB)
DC12: Mathematical modelling of adrenal gland steroid biosynthesis - University of Reading, U.K. (UREAD)
DC13: AI-based virtual twins for monitoring, disease classification, and decision support in clinical practice – Sapienza University of Rome, Italy (UNIROMA1)
WP 4: ETHICS AND LEGAL ASPECTS
DC14: Patient control of their health data used for research and treatment purposes - Universitetet i Bergen, Norway (UiB)
DC15: Ethics by design of virtual twins - Universite Cote d’Azur, France (UniCA)