Wearables and Biosensors in Out-of-Hospital Diagnosis and Monitoring of Adrenal Insufficiency (DC3)
Deadline: 15.02.2026
Publisert
Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.
The Faculty of Medicine consists of preclinical and clinical-theoretical institutes as well as the LMU University Hospital. It is the largest medical training institution in Germany.
19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN).
Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases.
Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe.
About the PhD position :
This project is part of Work Package 1: Hormone dynamics within the ENDOTRAIN network. This PhD project focuses on optimizing therapy monitoring and individualized treatment in primary adrenal insufficiency using ambulatory endocrine and real-world, continuous datastreams based on chronobiologic rhythmicity and environmental challenges.
About the project/work tasks:
Key activities:
- Leverage dynamic hormone profiling (e.g., U-RHYTHM) and next-generation biosensors for ambulatory assessment in patients with primary adrenal insufficiency. - Conduct structured clinical phenotyping including endocrine diagnostics and monitoring parameters during physiologic stressors of daily life - Integrate wearable-derived physiological data (e.g., activity, heart rate, temperature) with endocrine test outcomes to optimise therapeutic monitoring. - Contribute to multimodal datasets feeding into the broader development of digital diagnostic tools in endocrinology. Research Fields:
Endocrinology, Chronobiology, Reproduction, Digital Health, Medical Sensors, Systems Physiology, Internal Medicine
Secondments:
University of Ulm (D): To work with algorithms for wearable data
University of Manchester (UK): To learn mathematical modelling of hormone rhythms.
University of Bristol (UK): To learn mathematical modelling of hormone rhythms.
Qualifications and personal qualities:
We are seeking highly motivated candidates with:
A Master’s degree (MSc or equivalent) in Medicine, Biomedical Sciences, Physiology, Bioengineering, or a related field
Strong interest in translational endocrinology and digital health technologies
Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset
Excellent command of written and spoken English
Good communication skills and capacity for interdisciplinary collaboration
Applicants must fulfill eligibility criteria for LMU Munich-based PhD positions and be willing to participate in training activities across Europe.
- Competitive salary according to German Research Foundation (DFG) regulations – “E13 Stufe 2”
- Full social security coverage in Germany
- Travel and secondment budget included
- Opportunities for international networking, industry exposure, and career development
Your application must include:
All applications must be submitted via the Jobbnorge portal
Your application must include the mandatory attachments from the ENDOTRAIN webpages - including:
1. Application form
2. CV
3. Mobility declaration
4. Motivation Letter
Eligibility (MSCA Doctoral Network rules)
Applicants can be of any nationality.
Must not have resided or carried out a main activity in the host country for more than 12 months in the past 36 months before start of the PhD.
Must hold a master’s degree (or equivalent) enabling doctoral studies.
Must not already hold a doctoral degree.
English proficiency required - transcripts of diplomas in English must be uploaded in Jobbnorge.
In the "Jobbnorge-CV": Only fill in the basics of your 1) personal details, 2) short information about your degrees (in the field "Education / academic qualifications") - in order to minimise repetition with the CV attachment.
It is a condition of employment that the master's degree has been awarded (documentation must be provided). If you have not yet completed your master's degree, you can apply provided completion of the final master exam before the position start date. Please submit a statement from your institution confirming the expected date of award of your master's degree.
For HR related questions contact the host institutions for the position you are applying (see link for the specific position)
General information:
Contact:
Informal inquiries may be directed to Prof. Nicole Reisch and Prof. Martin Reincke Nicole.reisch@med.uni-muenchen.de and martin.reincke@med.uni-muenchen.de)
For questions about the ENDOTRAIN programme, please contact Programme Manager Elizabeth Farmer (elizabeth.farmer@uib.no)
For more information regarding technical matters connected to the application process, please contact HR Adviser Selina Sia Hausberg
Diversity and Inclusion
MSCA -Endotrain has a gender equality plan where gender balance among employees is therefore a goal. We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply. It is also a goal to recruit people with immigrant backgrounds. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.
Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.
About MSCA Doctoral Networks
The MSCA Doctoral Networks aim to train creative, entrepreneurial, innovative and resilient doctoral candidates, able to face current and future challenges and to convert knowledge and ideas into products and services for economic and social benefit.
The MSCA Doctoral Networks raise the attractiveness and excellence of doctoral training in Europe. Read More about the MSCA Doctoral Networks.
