Postdoc positions @ LIONS

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide.

The EPFL employs more than 6,500 people supporting the three main missions of the institution : education, research and innovation.

The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.

Your mission :

The Laboratory for Information and Inference Systems (LIONS) at EPFL is looking for postdoctoral fellows with a strong background in machine learning, continuous optimization, and deep learning, or other related areas to work under the supervision of Prof.

Volkan Cevher. Strong coding skills is a big plus.

Main duties and responsibilities include :

There are three positions that revolve around the following topics around LLMs or VLMs :

• Rethinking robustness in deep learning to enhance and verify robustness of models
• Continuous and discrete optimization theory to develop new continual learning, federated learning, and combinatorial optimization methodology.
• Accelerating inference systems to build next generation inference frameworks.

Your profile :

For the postdoctoral positions, candidates should have or be close to finishing a PhD degree in electrical engineering, computer science, applied mathematics, or a related field.

We offer :

LIONS provides a stimulating, collaborative, and fun research environment with state-of-the-art facilities at EPFL. Our group is quite in premiere ML venues, including NeurIPS, ICML, and ICLR.

Personal initiative and independent research tasks related with the candidate’s interests are also encouraged.

Among our postdoc alumni, twelve took professor positions (University of Wisconsin, Warwick University, University of Oslo, Linkoping University, Technion University, Umea University, Zhejiang University, Vietnam National University, National University of Singapore, University of North Carolina, AIMS South Africa, and CU-Boulder).

One is leading an AI team at SwissRe and the others took postdoctoral or scientist positions at McGill and Alan Turing Institute.

Among our PhD alumni, five became professors (University British Columbia, UCL, Umea University, National Taiwanese University, and Rice University).

Two are engineers at Kandou Bus. Five took scientist positions at Square Point, Meta, SDSC, Samsung AI and UnternehmerTUM.

Others took postdoc positions at UT Austin, ETHZ (2), CIBM, and UniGE.