Main tasks
The candidate's tasks include:

• Building WARN-D. The candidate's core task will be building the early warning system for depression, based on all the data collected in WARN-D, using statistical and mathematical models from systems and network science, machine learning, or AI. This work will also include the implementation of the warning system, e.g. via a website, a novel smartphone app, or a function integrated in an existing app.
• Working collaboratively. The candidate will take the lead in developing research questions and conducting research based on the WARN-D data, leading to novel publications to build their CV. The candidate will also support other team members via collaborations.
• Data analysis. The candidate will lead statistical and programming efforts, and provide expertise to other team members.
• Training & traveling. Money for national and international conferences, workshops, and other meetings is available. The candidate will be encouraged to present work at conferences, to connect to other projects, and to learn with and from national and international collaborators.
• Project management. We have dedicated staff responsible for the administration of the project and communication with participants. Nonetheless, everybody in the team is expected to help out with study administration if needed. Administrative tasks will not exceed 0.1 fte per week.
• Teaching. The position will entail 0.1 fte for student supervision and other teaching tasks.

Qualifications and interests

The ideal candidate will have:

• A PhD and excellent track record in Quantitative Psychology, Statistics, Machine Learning, Computer Science, or a related study program.
• Strong analytic and statistical skills, with a focus on network models, complex systems, and machine-learning/AI.
• Strong computational skills (e.g., R, Python, or comparable).
• Fluency in written and spoken English.
• Interpersonal and communication skills to effectively collaborate and communicate in academia.

Desirable qualifications and interests include:

• Experience with inter-disciplinary research situated between clinical psychology and methodology.
• Experience working with smartwatch and smartphone data.
• Experience related to building and implementing the early warning system (e.g. website or app development).
• Fluency in written and spoken Dutch (e.g., to help with Dutch media requests we receive).

Terms and conditions

The appointment will start in March 2023, although there is some flexibility. The appointment is for one year with the possibility of another two years after a positive evaluation. The position consists of 90% research time and 10% teaching duties. Salary range from € 2,960.- to € 4,670.- gross per month on a full-time basis (pay scale 10, in accordance with the Collective Labour Agreement for Dutch Universities).

Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3 %), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. More at https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions.

Diversity and inclusion
Fostering an inclusive community is a central element of the values and vision of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.

Faculty of Social and Behavioural Sciences

About the faculty
The Faculty of Social and Behavioural Sciences consists of five institutes: Education and Child Studies, Political Science, Psychology, Cultural Anthropology and Development Sociology and the Centre for Science and Technology Studies. The faculty has approximately 7,000 students and 1,025 employees. The Faculty of Social and Behavioural Sciences brings together high-quality research and outstanding teaching as well as in multidisciplinary approaches. Please, visit the faculty's website for more information.