Scientific Collaborator in Machine Learning

The University of Applied Sciences and Arts Western Switzerland Valais (HEScientific in Machine Learning (%)The University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis) has over 2,800 students. Through research and it contributes to economic and social development and the of jobs. The new Energypolis campus, home X School of Engineering, EPFL and modern start-ups, is an ecosystem X research. Why not come X us?The School of Engineering of the HES-SO Valais-Wallis is seeking a:Scientific in Machine Learning (%)This role offers a unique opportunity to work in a fast-paced and dynamic research environment in the heart of the Swiss Alps. You will conduct research in machine learning and artificial intelligence, with a primary focus on fine-tuning large language models for spear phishing detection and distilling fast predictors from X . This project is carried out in close with a major IT partner in Switzerland. The position may also include teaching Responsibilities:Conduct research and development in machine learning, with a focus on large language models (fine-tuning, in regular project meetings and contribute to the academic School of with faculty and other researchers on research and projects.Contribute to teaching activities, including tutoring and Master s degree or higher in computer science, machine learning, or a field. A PhD degree is a strong experience in machine learning. Experience in deep learning and fine-tuning large language models is a strong asset.Excellent programming skills in Python and experience with programming. Good knowledge of PyTorch and/or JAX is a strong analytical and problem-solving skills.Effective skills and the ability to work both and independently.Proficiency in English (minimum B2 level in both written and spoken is required. French (around B1) is an advantage for informal daily interactions and in teaching activities.Complementary of work: Sion, with the possibility of hybrid workStarting 1 Mayor by 24 monthsFor further please contact Prof. Gregory Mermoud (gregory.mermoud(a) Please submit your complete documents (CV, letter, diplomas and by 5 Aprilby clicking on the Apply button. Only online will be considered. jid156a251aen jit0310aen jpiy26aen