The group of Jens Sjölund (https://jsjol.github.io/) at Uppsala University, Sweden is searching for a postdoc in the area of Bayesian optimization/data-driven experiment design with applications to robotic battery assembly and testing. The research group is mainly concerned with accelerating scientific and technological progress using machine learning and optimization.
In more detail, the successful candidate will work with the research groups of Jens Sjölund (ML/opt) and Erik Berg (batteries), intensifying our efforts in realizing an autonomous battery laboratory that combines robotics and AI into a closed-loop system for rapid experimentation and exploration. We already have a robotic setup for battery assembly and testing in place. The main task of the candidate will be to close the feedback loop by enhancing the system with data-driven decision-making capabilities. The long-term goal is to turn it into a fully autonomous system. The main duties of the candidate will be to perform research on, first, fundamental models and methods for data-efficient experiment design such as Bayesian optimization and, second, the implementation of these in our robotic system.
The precise research scope will be decided in a dialog between the candidate and the supervisor after a successful appointment.
The offered position is fully funded for two years (incl. up to 20% teaching duties) and the salary is approx. 38000 SEK gross which amounts to approx. 28500 SEK (approx. 2460 EUR) after taxes per month. The starting date is flexible.
Application Details: https://www.jobb.uu.se/details/?positionId=664339
The deadline for applying is November 8th, 2023.
Requirements:
- PhD degree in machine learning, automatic control, computer vision, signal processing, computational statistics, computational mathematics, or another nearby and relevant field.
- Excellent academic record.
- Excellent knowledge of oral and written English.
- Interest in optimization and/or statistical machine learning.
- Interest in interdisciplinary research.
Publications at leading conferences in machine learning and/or leading conferences and journals in computational mathematics (for instance statistics or optimization) are a strong plus.
Why should you apply?
- Interdisciplinary research project acclerating the transition to a zero-carbon future using optimization and machine learning.
- The research group regularly publishes at top-tier machine learning venues.
- Fully-funded position for two years with a decent salary (approx. 2460 EUR after taxes per month).
- Uppsala University is among the best Swedish universities and is ranked top 100 worldwide with a long tradition being the oldest Nordic university still in operation.
- No language barrier: the working language is English and every Swede speaks English very well.
- Sweden offers a high quality of living and amazing nature.
Do not hesitate to contact Jens Sjölund (jens.sjolund@it.uu.se) if you have any questions.
Best regards,
Jens
