We are looking for postdocs in applied ML at EPFL!
Over the past 10 years, ML/AI has deeply revolutionized fields where data can be easily collected and used to discover complex patterns and relationships that would otherwise escape the human mind. Recent advances in attention-based models, autoencoders, and LSTMs are enabling personalization at scale in applied domains. ML is also transforming research in education, requiring scientists able to bridge between ML and education. Are you interested in developing ML models able to understand and improve human learning? Do you want to join us on the exciting journey of transforming education through high-impact research?
The EPFL Machine Learning for Education laboratory (ML4ED, led by Prof. Tanja Käser) is looking to hire a postdoctoral researcher candidate in applied machine learning. Areas of interest include reinforcement learning, time series modeling, and recommender systems. You will have the opportunity to work in a highly talented and motivated EPFL research group. You will lead innovative projects at the intersection of machine learning and education and be able to directly observe the impact of your research in the field. There will be opportunities to organize and supervise Master’s and Bachelor’s students (individually or in teams) and to mentor Ph.D. students. There will be large-scale computing resources (e.g., 100+ high-memory A100 GPUs) available to execute your agenda.
Please find the detailed job posting and information on how to apply here. For enquiries about the position, feel free to email marie.kunzle(at)epfl.ch