A position exists, for a Research Associate in the Department of Engineering, to work on probabilistic machine learning for the purpose of understanding and improving the performance of Large Language Models and Vision-Language Models. The post holder will also support teaching activities on the MPhil in Machine Learning and Machine Intelligence in the Department of Engineering.
The post holder will be located in Central Cambridge, Cambridgeshire, UK.
The key responsibilities and duties are:
Conducting individual and collaborative research projects;
Writing up research work for presentation and publication;
Contributing to teaching of Machine Learning courses at Master's level;
Assisting with supervision of Master's level research projects;
Liaising with colleagues and students;
Planning the use of research resources as appropriate;
Contributing to planning of joint research projects led by principal investigator.
The skills, qualifications and experience required to perform the role are:
- A very good first degree in engineering, computer science or a closely related field and a PhD degree in Machine Learning or a closely related area.
- Knowledge of and active engagement in research on probabilistic machine learning, particularly with applications in understanding and improving the performance of Large Language Models and Vision-Language Models.
- Knowledge of and active engagement in research on continual learning.
- Knowledge and experience of appropriate software tools and programming languages such as PyTorch and Python.
- Excellent oral and written communication skills.
- Experience of teaching and supervising students at Master's level.
- Experience of managing own workload.
- Experience of working in a team.
Salary Range: Research Associate: £37,174 - £45,413
Fixed-term: The funds for this post are available for 12 months in the first instance.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
