PhD in Data Science for Digital Proxies in RM&I

University of Groningen; Netherlands; On-site; EUR 36,000 - 48,000; Full time

Benefits offered by this job

Vacation hours

End-of-year bonus

Professional development

Job summary

The University of Groningen invites applications for a PhD position in an international, interdisciplinary project focused on digital proxies of Reward, Motivation and Impulsivity (RM&I). You will develop data-driven measures and connect them with neurobiological markers to advance precision medicine.

As a PhD candidate, you will conduct systematic reviews, build and apply digital proxies, and test hypotheses across disorders such as MDD, AD and obesity, collaborating with longitudinal cohorts

Qualifications

• Completed Master's degree in a relevant field (data science, neuroscience, psychology, biomedical sciences, etc.)
• Strong interest in applying quantitative and computational approaches to biomedical or clinical research.
• Experience with statistical analysis and/or data science.
• Programming experience in R and/or Python.
• Interest in digital phenotyping, digital biomarkers, behavioural data or other digital measures.

Responsibilities

• Systematic review of digital proxies related to RM&I across conditions.
• Development and application of data-driven digital proxies in longitudinal datasets.
• Investigation of relationships between digital proxies and neurobiological markers.
• Coordinate interdisciplinary analyses and communicate findings clearly.

Skills

R programming

Python programming

Data science

English proficiency

Analytical skills

Scientific writing

Education

Master's degree

Tools

R

Python

Job description

The University of Groningen invites applications for a PhD position in an international, interdisciplinary project focused on digital proxies of Reward, Motivation and Impulsivity (RM&I). You will develop data-driven measures and connect them with neurobiological markers to advance precision medicine.

As a PhD candidate, you will conduct systematic reviews, build and apply digital proxies, and test hypotheses across disorders such as MDD, AD and obesity, collaborating with longitudinal cohorts