Postdoctoral fellowship positions in Machine Learning for science and humanities (SMASH MSCA fellows

The University of Nova Gorica and 4 project partners have opened the forth call for proposals within SMASH project that aims to hire about 6 individuals for 2-year full-time postdoctoral contracts with highly attractive conditions. Fellows will be hosted by five leading Slovenian research institutions: the University of Nova Gorica, the University of Ljubljana, the Jožef Stefan Institute, the Institute of Information Science, and the Slovenian Environment Agency.

SMASH is an innovative, intersectoral, career-development training program for outstanding postdoctoral researchers, co-funded by the Marie Skłodowska-Curie Actions COFUND program. SMASH is open to postdoctoral researchers around the world who are interested in developing cutting-edge machine learning applications for science and humanities.

Applicants should propose ambitious research projects in one of SMASH’s five key research areas, that are centered on the use of cutting-edge machine learning, or more broadly, artificial intelligence techniques, to address some of the world’s most challenging questions in:

1. Machine Learning for Scientific Applications

2. Machine Learning for Particle Physics, Astrophysics, and Cosmology

3. Computing for Human and Animal Communication

4. Machine Learning in Climate Research

5. Personalized Medicine and Life Sciences

Who can apply?

Holders of a PhD degree, of any nationality, complying with the MSCA-COFUND mobility rule can apply, namely: SMASH fellows must not have resided or carried out their main activity (work, studies, etc.) in Slovenia for more than 12 months in the three year period before the call deadline. Researchers who have successfully defended their doctoral thesis but have yet to be formally awarded their doctoral degree will also be considered postdoctoral researchers and are eligible to apply.

How to apply?

Applicants are invited to apply using the online application platform . All information about the call and how to apply is available on the SMASH web page https://smash.ung.si/become-a-fellow/application-procedure/ and detailed in a dedicated Guide for Applicants .