The University of Ulm, Germany, in partnership with the ENDOTRAIN MSCA Doctoral Network, is offering a fully funded PhD position focused on Data Integrity for Digital Health & Medical Wearables (DC9). This three-year doctoral opportunity is embedded within the Institute of Biomedical Engineering and targets the development of robust, scalable infrastructure for integrating and analyzing complex biomedical data streams, particularly those generated by medical wearables and endocrine test outcomes.

As a PhD candidate, you will architect data integrity workflows for endocrine digital twins, ensuring the synchronization and seamless integration of multimodal datasets such as dynamic hormone profiles and biosensor data (heart rate, actigraphy, temperature). The project’s key aims include designing a state-of-the-art data platform, developing machine learning algorithms for real-time artifact detection and mitigation, and supporting the next generation of computer platforms for endocrine disease prevention, diagnosis, and management.

You will be part of Work Package 2: Technologies for Multimodal Data, collaborating with an international network of clinical and technical experts across the ENDOTRAIN consortium. The position includes mandatory secondments at the University of Rome (AI-based virtual twins for clinical monitoring and decision support) and Leitwert AG (health middleware), providing practical exposure and networking opportunities.

The research fields span Health Informatics, Biomedical Engineering, Computer Science, Endocrinology, Digital Health, Medical Sensors, and Cyber-physical Systems. The host institution offers access to high-performance computing facilities, unique multimodal datasets, and advanced wearable technologies, along with extensive technical and physiological training and global collaboration opportunities.

Eligibility requires 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. Applicants should have a solid background in signal processing and machine learning, excellent programming skills (Python, Matlab, or C), and ideally knowledge of embedded systems, cloud and edge computing, and biomedical signals. Strong interest in translational endocrinology and digital health technologies, as well as excellent English communication skills, are essential. Candidates must not have resided or carried out their main activity in Germany for more than 12 months in the 36 months prior to recruitment and must be willing to participate in interdisciplinary training activities across Europe.

The scholarship covers tuition fees, training support, travel, secondments, and a stipend at standard rates for three years (gross salary: 55,000 euros/year). Additional benefits include international networking, industry exposure, and career development opportunities.

Applications must be submitted via the Jobbnorge portal with all mandatory attachments. For further details, visit the project page. Only applications through the portal will be considered. The application deadline is February 15, 2026, with the latest start date in August 2026.