We are looking for research assistants who can contribute to AI-related projects at HEC Lausanne and collaborate with Stanford University. Potential starting date from September or October 2024.
About this position
- Workload: part-time, 20% weekly commitment
- Duration: At least two semesters
- Compensation: Based on UNIL’s standard salary rates
- Responsibilities: Assist in the research projects and teaching
Your Profile
Essential
- A degree or current studies in computer science or related disciplines.
- Proficient in English
- Enrollment in a master’s or bachelor’s program at EPFL or UNIL
- Technical Skills:
- Experience with PyTorch, TensorFlow, or JAX.
- Proficient in working with Linux servers.
- Knowledge of deep learning models such as CNN, LSTM, ResNet, and LLM.
- Familiarity with PyTorch Lightning or Hugging Face libraries.
- Understanding of model training, evaluation methods, and metrics.
Desirable
- Working with large datasets and models such as BERT.
- Fine-tuning models.
- Developing graph neural networks and knowledge bases.
- Handling end-to-end training of large models in language processing, computer vision, graph analysis, or recommendation systems.
Application
Interested candidates are invited to send their applications to yuanjun.feng@unil.ch. Please include both your CV and academic transcript in your submission.