The University of Ulm, Germany, in partnership with the European Commission’s MSCA Doctoral Network ENDOTRAIN, invites applications for a PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9). This prestigious position is based at the Institute of Biomedical Engineering and offers a unique opportunity to contribute to the future of personalized medicine through advanced research in digital endocrinology, medical wearables, and data science.

As part of Europe’s first doctoral network in digital endocrinology, you will join a vibrant, interdisciplinary team integrating artificial intelligence, sensor technology, omics, and clinical medicine to revolutionize the diagnosis and treatment of adrenal diseases. The project is embedded in Work Package 2: Technologies for Multimodal Data, and involves close collaboration with international clinical and technical experts across the ENDOTRAIN consortium. Mandatory secondments at the University of Rome (AI-based virtual twins) and Leitwert AG (health middleware) will maximize your exposure and professional network.

Your research will focus on architecting data integrity and workflows for endocrine digital twins. You will design and maintain a state-of-the-art data platform to integrate complex hormonal data, high-resolution wearable sensor streams, and endocrine test outcomes. Developing intelligent machine learning algorithms for real-time artifact detection and data quality assurance will be central to your work. You will also contribute to the next generation of computer platforms supporting prevention, diagnosis, and management of endocrine diseases.

The Institute of Biomedical Engineering at Ulm provides access to world-class resources, including high-performance computing facilities, unique multimodal datasets, and advanced wearable technologies. You will benefit from extensive technical and physiological training, global collaboration, and opportunities for international networking and industry exposure.

Applicants must hold a first-class master’s degree (or equivalent) in Electrical, Biomedical, or Communications Engineering, Computer or Data Science, or a closely related discipline with a strong mathematical and data management component. Required skills include signal processing, machine learning, and programming (Python, Matlab, or C). Knowledge of embedded systems, cloud and edge computing, and biomedical signals is advantageous. Excellent English communication skills are essential. Eligibility rules require that candidates must not have resided or carried out their 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 be willing to participate in training activities across Europe. Documentation of awarded master’s degree is required; candidates who have not yet completed their master’s may apply if completion is expected before the position start date, with institutional confirmation.

The position is fully funded for three years, with a gross annual salary of 55,000 euros. The scholarship covers tuition fees, training support, travel, secondments, and provides access to career development opportunities. Diversity and inclusion are core values of the ENDOTRAIN network, and applications from women, people with immigrant backgrounds, and people with disabilities are strongly encouraged.

To apply, submit your application via the Jobbnorge portal, including all mandatory attachments: application form, CV, mobility declaration, and motivation letter. For further details, visit the programme webpage and follow the instructions. The application deadline is 15th February 2026. For informal enquiries, contact Prof. Walter Karlen at [email protected].

Join us at the University of Ulm to shape the future of digital health and personalized medicine!