ACADEMY SCIENTIST (F*M)

Job ID: IWF106AS122

The Space Research Institute (IWF ), with about 100 employees from twenty nations, is one of the largest institutes of the Austrian Academy of Sciences (OeAW ). The institute is located in the Victor Franz Hess Research Center of the OeAW in the south of Graz and hosts 8 research groups on the astrophysics of the solar system, exoplanets, and space instrumentation, see www.oeaw.ac.at/en/iwf/research/research-groups . The IWF also operates a world-leading satellite laser ranging station at the Lustbühel Observatory.

The Space Research Institute in Graz invites applications for an

Academy Scientist (f*m)

in Machine Learning

(full-time, 40h per week)

We invite ambitious candidates who are interested in the development and application of machine learning techniques in astronomy and instrumentation at the IWF. We strive for a tight collaboration between instrumentation and space science as we understand instrumentation as science enabler.

Your tasks:

• Support IWF research and space instrumentation groups in all matters of machine learning

• Development of a competence hub for machine learning for application in astronomy, space science and space technology development

• Publication activities

Your profile:

• PhD in relevant fields (mathematics, statistics, physics, engineering)

• Experience in developing machine learning applications in astrophysics, physics, geoscience and/or technology development

• Experience and readiness to introduce our researchers and engineers to the field of machine learning

The appointment begins as early as January 01st , 2023 and is initially for 3 years with the possibility to extend for another 3 years. The annual gross salary according to the collective agreement of the Austrian Academy of Sciences (OeAW) for this position is € 54.018,02. Depending on qualification and experience, the salary can be negotiated.

Applications must include a cover letter, curriculum vitae, list of publications, a statement of the applicant's experience in machine learning (2 page) and a machine learning plan with view on the IWFs research spectrum (1 page), certificates for full academic record, and the full contact information for two references. Please send the application as one PDF file, mentioning Job ID: IWF106AS122 to Cosima Muck, [email protected] , no later than October 31st , 2023. Inquiries about the position should be directed to Cosima Muck.

The Austrian Academy of Sciences (OeAW) pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity. Individuals from underrepresented groups are particularly encouraged to apply.