The Kapteyn Astronomical Institute invites applications for the position of Assistant Professor, with a clear focus on the development and application of astronomical data science and machine learning methods within both the observational and theoretical astronomical research domains.
The institute offers a full-time position within our faculty’s Career Paths in Science and Engineering system, providing an excellent pathway for career development. They seek a candidate who is eager to exploit data from existing and future astronomical instruments and facilities with the involvement of research staff at the Kapteyn Astronomical Institute, including datasets from advanced numerical simulations.
The successful candidate is expected to contribute to the Institute’s current research areas, fostering collaborations within the Kapteyn Astronomical Institute, across NOVA institutes, ASTRON, SRON, and with Computer Science at the University of Groningen and elsewhere. The candidate is expected to develop courses and teach astronomical computing, data science, and machine learning methods to students within the institute and the Faculty of Science and Engineering.
Duration: 2 years
Tasks
As Assistant Assistant Professor on Astronomical Data Science and Machine Learning, the candidate will
- Set up and develop their own research line and research group.
- Teach bachelor and master courses to students in the faculty of science and engineering.
- Contribute to the development of degree programs in astronomy.
- Supervise PhD students and postdocs.
- Acquire external funding.
- Promote the societal relevance of your research.
- Contribute to the organization of the institute and faculty.
Salary
- A starting salary of €4,492 depending on qualifications and work experience to a maximum of €6,986 gross per month.
- A holiday allowance and an end-of-year bonus of 8% and 8.3% yearly salary.
- Pension scheme.
- Maternity and parental leave.
- The possibility of working part-time.
- A mentor programme and a broad range of opportunities for personal development.
- Dual career support for partners of new faculty members moving to Groningen.
Job Requirements
The Assistant Professor on Astronomical Data Science and Machine Learning position seeks candidates with the following characteristics:
- A PhD degree in computer science, astronomy/astrophysics, physics, or related fields.
- A proven track record in developing and applying novel data-science methods applied to astronomical observations and/or simulations.
- A great affinity with and a good track record in teaching, appropriate for the career stage.
- A relevant international research network.
- The potential to acquire substantial research grants from external sources.
- Demonstrable communicative and organizational competencies.
- The ambition and the potential to develop academically.
- The ability to work well with others in international and diverse teams.
- Good command of spoken and written English.
Application Process
Interested applicants are to submit a complete application, including:
- cover letter in which you describe your motivation and qualifications for the position.
- curriculum vitae, including a list of publications and a description of teaching.
- experience, and a list with names and contact details of references.
- list of five self-selected papers with an explanation of their contribution and what impact it made on science and/or society.
- statement of teaching goals and experience.
- research statement, including a description of scientific interest and plans.
To apply for Assistant Professor of Astronomical Data Science and Machine Learning, click here.
Deadline: January 15, 2025.
For more information on the Assistant Professor on Astronomical Data Science and Machine Learning, visit the official site.
