- University of Ljubljana
- University in Nova Gorica
- Jožef Stefan Institute
- Institute of Information Science
- Slovenian Environment Agency
- Marie Skłodowska-Curie COFUND
During the five years of the SMASH project (2023-28), SMASH aims to hire 50 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 offers 2-year full time fellowship - fellows will be compensated with monthly gross salary of €5449/€4882 (w or w/o family), which includes all taxes and other statutory payments. For comparison, the average gross salary in Slovenia is about €2025 /month.
While machine learning (in particular deep learning) has become the dominant methodology to tackle a number of challenges in robotics, scene understanding and content editing, it has not been extensively explored in sciences outside of engineering. The overarching goal is to develop machine learning and computer vision methods applicable or directly tailored for addressing natural science and/or humanities challenges.
The applicant submits a project proposal with topic in one of five SMASH key areas (see here for details) and has to secure a supervisor before submitting. ViCoS offers three supervisors to chose from (see full list involving FRI-UL supervisors here):
- Danijel Skočaj
- 1.2 Deep learning and computer vision (anomaly detection, object detection and counting, semantic segmentation, image understanding, interdisciplinary applications)
- 1.3 Beyond supervised learning (unsupervised learning, weakly supervised learning)
- Matej Kristan
- 1.2 Deep learning and computer vision (preferrably, but not restricted to: tracking, motion estimation, detection, scene understanding)
- 4.1 Extreme weather - co-supervision (computer vision methods for weather prediction and geophysics. This is an amazing emerging research area!! See my recent publications on the topic for more details.)
- Luka Čehovin Zajc
- 1.2 Deep learning and computer vision (computer vision for remote sensing, utilizing deep learning methods in different remote sensing tasks)
- 1.3 Beyond supervised learning (unsupervised and weakly supervised learning for remote sensing, learning from noisy data)
Several calls are planned:
- Call 1: February 14 2023 - April 15 2023 - CLOSED
- Call 2: July 17 2023 - October 27 2023 - OPEN
- Call 3: July 15 2024 - October 15 2024
Please see the SMASH page for further information, or drop us an email. You can also follow SMASH on Twitter or Facebook.