Ref. No. SU FV-3387-20
at the Department of Physics. Closing date: 15 January 2021.
The Department of Physics is one of the biggest departments within the Faculty of Science and supports a broad range of basic research in experimental and theoretical physics. It has about 250 employees of which 95 are PhD students. Many have been internationally recruited. The Department is part of the AlbaNova University Center, which apart from the Department of Physics houses the Department of Astronomy, the Physics Departments at the Royal Institute of Technology (KTH), and the Nordic Institute for Theoretical Physics (Nordita).
We are searching for outstanding individuals to conduct original research on modelling and/or analysis of photometric datasets for dark energy studies using statistical inference and machine learning methods. The project is funded by a Wallenberg Foundation research project grant to Hiranya Peiris, Jens Jasche, Ariel Goobar, Jesper Sollerman, and Matthew Hayes. The positions are focussed on our involvement in the Legacy Survey of Space and Time (LSST) and the LSST Dark Energy Science Collaboration, preparing for upcoming data from the Vera C. Rubin Observatory.
The successful candidates will be part of the Oskar Klein Centre for Cosmoparticle Physics (www.okc.albanova.se) in Stockholm, a rich scientific environment that comprises more than a hundred researchers working in both theory and experiment in the fields of astronomy, astrophysics and particle physics at both Stockholm University and the Royal Institute for Technology. The OKC hosts a vibrant research program on dark matter, dark energy, transient and multimessenger astrophysics, structure formation, and related particle physics questions. Postdoctoral associates are also welcome to participate in Scientific Programs at Nordita, the Nordic Institute for Theoretical Physics, which bring together groups of leading experts to work on specific topics for extended periods.
The positions involve original research on cosmic large scale structure or time-domain cosmology, broadly related to testing fundamental physics and cosmology with LSST. Daily responsibilities will include developing and applying novel statistical and machine learning techniques, writing production-level code for analysis of LSST data and precursor datasets, and/or preparing for the coming LSST data by analyzing precursor surveys. Experience in astronomical image analysis or cosmology is desirable, but not essential. Experts in other relevant fields, especially those with artificial intelligence and machine learning backgrounds are also welcome to apply.
Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country.
The degree should have been completed no more than three years before the deadline for applications. An older degree may be acceptable under special circumstances, which may involve sick leave, parental leave, clinical attachment, elected positions in trade unions, or similar.
In the appointment process, special attention will be given to research skills in cosmological and astronomical data analysis, statistics, programming, and numerical or machine-learning modeling. We are looking for someone with the ability to communicate well and work with an international research team.
Terms of employment
The positions involves full-time employment for a maximum of two years, with the possibility of extension under special circumstances. Start date 2021-09-01 or as per agreement.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
Further information about the position can be obtained from Professor Hiranya Peiris, email@example.com.
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, firstname.lastname@example.org, Alejandra Pizarro Carrasco (Fackförbundet ST/Lärarförbundet), telephone: +46 8 16 34 89, email@example.com, and firstname.lastname@example.org (SEKO).
Apply for the position at Stockholm University’s recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.
Please include the following information with your application
- Your contact details and personal data
- Your highest degree
- Your language skills
- Contact details for 2–3 references
Important: Your academic referees should send us recommendation letters via email to: FVemail@example.com and state in the subject line: SU FV-3387-20 + name of the applicant
and, in addition, please include the following documents
- Cover letter
- CV – degrees and other completed courses, work experience and a list of publications
- Research proposal (no more than 3 pages) describing:
– why you are interested in the field/project described in the advertisement
– why and how you wish to complete the project
– what makes you suitable for the project in question
- Copy of PhD diploma
- Letters of recommendation (no more than 3 files)
- Publications in support of your application (no more than 3 files).
The instructions for applicants are available at: How to apply for a position.
You are welcome to apply!
Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.
Closing date: 15/01/2021
Post expires on Friday January 15th, 2021