We are seeking 3 Research Assistants to join an exciting and significant research programme run by the Cambridge Machine Learning Group at the University of Cambridge ().

The goal of the programme is to develop new fundamental methods within the area of probabilistic machine learning.

The Research Assistants will be supervised by Prof. José Miguel Hernández Lobato from the Machine Learning Group in the Department of Engineering.

Key responsibilities include working on deep learning and probabilistic machine learning, including deep generative models, Bayesian methods, Bayesian optimisation, Gaussian processes, normalizing flows, diffusion models, etc.

Additional responsibilities include: contributing to research objectives and proposals; presentations and publications; assisting with teaching and supervision; liaising and networking with colleagues and students; planning and organising research resources and workshops.

Successful applicants will have a Masters Degree in Computer Science, Information Engineering, Statistics or a related area, with extensive research experience and possibly a strong publication record. Excellent mathematical and programming skills are essential. Experience in one or more of machine learning, statistics, or a related field is highly desirable.

Salary Range: Research Assistant: £31,396 - £33,966

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.