Postdoc Data Science Integreren Van Data In De Forensische Jeugdzorg

Laplace Apply; Amsterdam; Híbrido; EUR 42.000 - 65.000; A tiempo parcial

Descripción de la vacante

Amsterdam UMC offers a part-time Postdoc in Data Science for Integreren Van Data in De Forensische Jeugdzorg. The role integrates data from over 300 youths in forensic youth care, including detention facilities and treatment centres.

You will develop statistical and machine-learning models and publish results with clinicians and participants. The ideal candidate holds a PhD in behavioural science, psychology, neuroscience or related fields and has strong R/Python programming and

Formación

• PhD required in behavioural science, psychology, neuroscience or related field.
• Strong statistical modelling and data-visualisation skills expected.
• Proficiency in R and Python for analysing complex longitudinal data.

Responsabilidades

• Develop statistical and machine-learning models from multisource data.
• Create accessible visual decision aids for clinicians and young participants.
• Publish findings from the research project while collaborating with partners.

Conocimientos

R

Python

Statistical modelling

Machine learning

Biopsychosocial data

Educación

PhD in behavioural science, psychology, neuroscience or similar

Descripción del empleo

Netherlands

11 November 2026 (date-only displayed on listing; exact cutoff time not verified in the current pass)

About This Opportunity

Amsterdam UMC offers Postdoc Data Science Integreren Van Data In De Forensische Jeugdzorg. In the Screen & Intervene project at Amsterdam UMC, this postdoc integrates data from more than 300 young people in forensic youth care, collected from juvenile detention faci.

In the Screen & Intervene project at Amsterdam UMC, this postdoc integrates data from more than 300 young people in forensic youth care, collected from juvenile detention facilities and a treatment centre. Work spans physiological measurements (heart rate, skin conductance, hormones), neuropsychological testing, psychosocial risk screeners and longitudinal datasets. The researcher develops statistical and machine-learning models and accessible visual decision aids with clinicians and young participants, and publishes research. Practical and application conditions: Advertised weekly workload: 29 hours/week; Published remuneration: EUR 3,724–5,867 gross per month; Stated application date: 11 November 2026 (cutoff time not independently validated).Who This Opportunity Is Best Suited For: Based on the documented project scope, it may particularly suit researchers with a completed PhD in behavioural science, psychology, neuroscience or related fields and demonstrated statistical modelling, R/Python programming and complex-data visualisation.Potential Challenges / Who May Find It Less Suitable: Combining sensitive biopsychosocial measurements and communicating results to practitioners and young participants is central; neurobiological and longitudinal-data expertise is an advantage.Overall Opportunity Assessment: The distinguishing feature is the specific combination of research questions and methods described above; applicants should weigh this focus against the documented prerequisites and working conditions.

Level Postdoc

Time Commitment Part-time

Reference Code 365112

Field Data Science Integreren Van Data In De Forensische Jeugdzorg

Funding & Compensation

Amount EUR 3,724-5,867 / Per Month

Funding Type Salary

Funding Status Paid

Period Per Month

Requirements

Education

PhD in behavioural science, psychology, neuroscience or similar.

Experience

Technical Skills R Python Statistical modelling Machine learning Biopsychosocial data