Bas Bloem

PhD opportunity in Digital Biomarkers, Longitudinal Modelling and Parkinson’s Disease at Leiden University Medical Center (LUMC) in collaboration with Radboudumc . This PhD project focuses on Parkinson’s disease , digital biomarkers , wearable sensors , machine learning , artificial intelligence , longitudinal modelling , statistics , and signal processing . The work uses unique long-term clinical and wearable sensor data from two major cohorts: the Personalized Parkinson Project and ProPark . The aim is to develop novel digital biomarkers that better capture disease progression over time and improve monitoring in clinical trials and care. You will join multidisciplinary teams at LUMC and Radboudumc , working closely with clinicians, data scientists, engineers, researchers, and patient representatives. The supervisory team includes Roel Weijer , Dagmar Hepp , Bas Bloem , and Luc Evers . The project is embedded in internationally recognised Parkinson’s disease research programmes and offers a collaborative, ambitious, and supportive environment. Eligibility highlights: a master’s degree in AI, data science, biomedical sciences, human movement sciences, biomedical engineering, computer science, statistics, or a related field; strong quantitative and analytical skills; interest in machine learning/probabilistic modelling/digital health/wearables; programming experience in Python or R; and excellent English. Funding: this is a salaried PhD employment position with a gross monthly salary of €3,217–€4,077 plus standard employment benefits. Application materials: motivation letter, CV, at least one first-author scientific text sample, one substantial programming/data analysis project example, and bachelor’s and master’s transcripts. Application: apply through the vacancy link provided. The post indicates the vacancy is open for a limited time and the LUMC page states there are 18 days left to apply .