THIS POSITION HAS BEEN FILLED
PhD and Postdoctoral research positions on distant star-forming galaxies
The research group on "Galaxies and the Universe" of the Geneva Observatory expects to recruit new PhD students and post-docs to start in fall 2022.
The successful candidates will work on projects studying star-forming galaxies in the nearby and distant Universe, involving multi-wavelength observations and/or state-of-the-art modeling. The projects include in particular cycle 1 spectroscopic observations from the James Webb Space Telescope (the LyC22 survey with NIRSpec/JWST), and other studies of emission line galaxies, Lyman continuum emitters and related objects. A related project will focus on new, ambitious spectral models for star-forming galaxies. The candidates will work with the group of Prof. Daniel Schaerer in Geneva and within international collaborations.
The Geneva Observatory and the associated Laboratory of Astrophysics of the Swiss Federal Institute of Technology in Lausanne (EPFL) carry out observational, interpretative and theoretical research in the fields of extra-solar planets, stellar physics, high energy astrophysics, galaxy evolution, and observational cosmology.
The post-doc appointment will be for one to three years, renewable. PhD appointments are for four years. Starting dates are in sept-oct 2022, negotiable.
Qualified candidates are encouraged to send the following material in a single pdf file via email to Daniel Schaerer ( ):
- post-docs (subject "post-doc Geneva-2022"): CV and publication list, description of research experience and interests, and contact information of three references
- PhD students (subject "PhD Geneva-2022"): CV, motivation letter, list of MSc courses and grades, and contact information of two or three references
Applications received by 1 march, 2022 will receive consideration.
Informal enquiries with Daniel Schaerer ( ) are welcome.
For information on the research group visit https://www.unige.ch/sciences/astro/starbursts/en/
Standard Swiss Social Security, Accident Insurance and Pension contributions.
Postdoc position: Machine learning for imaging, generative modeling and data analysis in radio-astronomy
The Stochastic Information Processing Group (SIP) (http://sip.unige.ch), University of Geneva, Switzerland, has an open post-doc position in machine learning for imaging, generative modeling and data analysis in radio-astronomy.
§ PhD degree in one of the following domains: computer science, data science, radio-astronomy, physics or electrical and computer science engineering
§ Solid experience with machine learning in image processing applications with preferable knowledge of recent concepts in generative models such as diffusion and score models, transformers and inverse problem solvers
§ Good knowledge of radio-interferometric imaging or strong understanding of signal processing concepts related to Fourier transform and sampling
§ Strong programming skills in Python with demonstrated experience in PyTorch or TF that will be verified
§ Strong verbal and written communication skills in English
§ Strong analytical abilities and problem solving/troubleshooting skills
§ Great collaboration environment
§ Flexibility in research and career development
§ Support in publishing papers and attending top international events
§ Collaboration with leading Swiss institutions working in the domain of radio-astronomy imaging and data analysis
§ Salary: about 80’000 CHF per year
§ Duration of contract: initial duration of position is 1,5 years
The successful applicant will be involved into the Swiss research project Astrosignals (https://astrosignals.ch) and contribute to the development of machine learning based image processing methods in application to radio-astronomy imaging systems such as SKA and MeerKAT. The postdoc will be a member of a joint team between the Computer Science (the SIP group: (http://sip.unige.ch)) and Astronomy (the starbursts in the Universe group: https://www.unige.ch/sciences/astro/starbursts/team/daniel-schaerer) Departments of the University of Geneva, Switzerland.
The research problems will cover the development of innovative machine learning based imaging, reconstruction, source localization and classification. The part of project is also dedicated to the development of digital twins of radio-astronomy imaging systems. The developed methods will be validated on both synthetic and real data.
The SIP group has a broad network of international collaboration and has excellent possibilities to organize scientific exchange with the leading Swiss Universities.
September 1, 2023 or can be discussed.
All applications should be submitted via:
The application deadline:
There is no strict application deadline but the position will be filled once an appropriate candidate is found.