Job Information
- Organisation/Company
- Utrecht University
- Research Field
- Cultural studies
- Researcher Profile
- Recognised Researcher (R2)
- Country
- Netherlands
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Not Applicable
- Hours Per Week
- 38.0
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
The mice team at Utrecht University seeks an excellent postdoctoral researcher to enhance our strength in methodological research and development of open software. The successful candidate will be a member of the mice research and development team and work with topics related to incomplete data analysis and machine learning, with an interest in applications to the social, behavioural, biomedical, and clinical sciences.
This position is funded by NWO Open Competition XS Mindless Mice: Multiple imputation without explicit model specification(406.XS.01.104). The missing data group at Utrecht University is strongly integrated with the Utrecht Focus Area Applied Data Science and has excellent connections to social sciences, health sciences and official statistics. Beside collaborations within this larger project and the missing data team at the department of methodology and statistics led by prof. dr. Stef van Buuren and dr. Gerko Vink, there will be ample opportunities to collaborate with multiple researchers within and outside of the university.
Research topics of interest include, but are by no means limited to:
- incomplete data theory;
- causal inference / probabilistic graphical models;
- machine learning;
- data synthesis;
- differential privacy;
- explainable AI;
- differentiable programming.
Contributions to FOSS software projects and other open science practices are explicitly appreciated in our group.
The tasks include:
- developing data-driven automated techniques for solving incomplete data problems that minimizes the need for user intervention;
- building own research related to by publishing excellent research (research products may include papers as well as FOSS software, outreach, etc.);
- collaborating on the NWO Open Competition project;
- contributing 20% of the time to teaching at the Methodology and Statistics department, for example within the new UU Master’s and minors in Applied Data Science, or through supervision of Master's students.
- assisting in training and supervision of PhD candidates and Master's students;
- contributing to the missing data group group activities, such as the development and research meetings.
Requirements
We look for a motivated and highly skilled candidate with:
- a PhD degree in statisics, computer science, computational social sciences, or any related or relevant field;
- excellent development and programming skills in R;
- excellent communication skills in English;
- creativity, independence and dedication to advancing (open) science;
- a research vision and a will to develop it in an environment with a large degree of academic freedom;
- ability and will to collaborate and work in teams;
- excellent social skills;
- ability and will to do research on one (or more) of the topics of interest of the research group;
- ability and will to support teaching and/or to (co-)supervise master and PhD candidates (this position includes both research and education responsibilities which are aimed at supporting our tasks and at developing the postdoc’s skills).
Additional Information
We offer a temporary position (1,0 FTE) for a period of 10 months in an international working environment. The gross salary - depending on previous qualifications and experience - ranges between €2,960 and €5,439 (scale 10 or 11 according to the Collective Labour Agreement Dutch Universities) per month for a full-time employment. Salaries are supplemented with a holiday bonus of 8% and a year-end bonus of 8.3% per year.
In addition, Utrecht University offers excellent secondary conditions, including an attractive retirement scheme, (partly paid) parental leave and flexible employment conditions (multiple choice model). For more information, please visit working at Utrecht University.
Everyone deserves to feel at home at our university. We welcome employees with a wide variety of backgrounds and perspectives.
To apply, please send the following documents via the ‘apply’ button:
- a one-page personal research statement, including motivation to work within our group;
- your curriculum vitae, including a list of your publications and/or other research or software development outputs;
- the contact information of two references.
If you know someone who is suitable for this position, please share the vacancy.
For more information about this position, please contact Kevin van Kats (Department manager) via K.vanKats@uu.nl.
Are you an international applicant? Our International Service Desk can answer your questions about living in the Netherlands as international staff.
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Utrecht University
- Country
- Netherlands
- City
- Utrecht
- Postal Code
- 3584 CH
- Street
- Padualaan 14
Where to apply
- Website
Contact
- City
- Utrecht
- Website
- Street
- Domplein 29
- Postal Code
- 3512 JE