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.

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 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. As part of the ENDOTRAIN network, you will join Europe’s first doctoral program integrating AI, sensor technology, omics, and clinical medicine to revolutionize the diagnosis and treatment of adrenal diseases. The project focuses on developing robust, scalable infrastructure for integrating and synchronizing multimodal biomedical data, including hormone profiles and wearable biosensor streams (heart rate, actigraphy, temperature). Your mission will be to architect data integrity workflows for endocrine digital twins, ensuring high-quality data for clinical intelligence and research. Key project aims include designing a state-of-the-art data platform, developing machine learning algorithms for artifact detection and data quality assurance, and supporting the next generation of computer platforms for endocrine disease management. You will benefit from access to high-performance computing facilities, unique datasets, and advanced wearable technologies, as well as extensive technical and physiological training and international collaboration opportunities. The position includes mandatory secondments at the University of Rome (AI-based virtual twins for clinical decision support) and Leitwert AG (health middleware), providing practical exposure and networking within a global consortium. The program emphasizes interdisciplinary training, merging clinical endocrinology, AI, data science, engineering, ethics, and law. Applicants should hold a first-class master's degree in Electrical, Biomedical, or Communications Engineering, Computer or Data Science, or a closely related discipline with strong mathematical and data management skills. Required qualifications include expertise in signal processing, machine learning, programming (Python, Matlab, or C), and a good understanding of biomedical signals and human physiology. Knowledge of embedded systems, cloud, and edge computing is advantageous. English proficiency is mandatory. The scholarship is open to EU and non-EU candidates and covers tuition fees, training support, travel, secondments, and a stipend of 55,000 euros/year for three years. Applicants must not have resided or carried out a main activity in Germany for more than 12 months in the past 36 months before the PhD start date and must not already hold a doctoral degree. Diversity and inclusion are core values of the program, with a gender equality plan and encouragement for applicants from immigrant backgrounds and those with disabilities. To apply, submit your application via the Jobbnorge portal, including all mandatory attachments: Application form, CV, Mobility declaration, and Motivation Letter. Transcripts of diplomas in English must be uploaded. If your master's degree is pending, provide a statement from your institution confirming the expected award date. For further details, visit the ENDOTRAIN webpages or contact Prof. Walter Karlen for informal enquiries. Join a world-class research environment at the University of Ulm and help shape the future of digital health and personalized medicine!

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!