Publisher
source

Leiden University Medical Center

PhD in Digital Biomarkers, Longitudinal Modelling and Parkinson’s Disease Leiden University Medical Center in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

PhD employment position at LUMC with a gross monthly salary of €3,217 to €4,077 (scale PRO, CAO UMC) based on full-time work, plus an end-of-year bonus (8.3%), holiday allowance, bicycle scheme, sports budget, working-from-home allowance, commuting reimbursement, and ABP pension contributions with LUMC paying up to 70% of the pension contribution. The appointment is for the duration of the PhD project.

Deadline

Expired

Country flag

Country

Netherlands

University

Leiden University Medical Center

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Keywords

Computer Science
Machine Learning
Neurology
Biomedical Engineering
Signal Processing
Biology
Parkinson's Disease
Artificial Intelligence
Neuropsychology
Probabilistic Modeling
Digital Health
Medical Science
Statistics

About this position

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.

Funding details

PhD employment position at LUMC with a gross monthly salary of €3,217 to €4,077 (scale PRO, CAO UMC) based on full-time work, plus an end-of-year bonus (8.3%), holiday allowance, bicycle scheme, sports budget, working-from-home allowance, commuting reimbursement, and ABP pension contributions with LUMC paying up to 70% of the pension contribution. The appointment is for the duration of the PhD project.

What's required

Applicants should have a master’s degree in artificial intelligence, data science, biomedical sciences, human movement sciences, biomedical engineering, computer science, statistics, or a related field, or expect to obtain it soon. Strong affinity for quantitative research and data analysis is required, along with experience or strong interest in machine learning, probabilistic modelling, statistics, signal processing, digital health, or wearable sensor technologies. Programming experience in Python, R, or a similar language and excellent written and spoken English are required. Applicants must submit a concise motivation letter, a detailed CV, at least one first-author scientific text example, at least one substantial data analysis or software project example, and academic transcripts for bachelor’s and master’s degrees.

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Professors

prof.

University Name
Country flag

Netherlands

Research Interests

Neurology

Statistics

Biomedical Engineering

Signal Processing

Probabilistic Modeling