Research Assistant/Associate in Machine Learning (Fixed Term) Full-time

Research Assistant/Associate in Machine Learning

We are seeking a highly motivated Research Assistant/Associate in Machine Learning to join an interdisciplinary project at the University of Cambridge focused on machine-learning-guided antibiotic discovery. The successful candidate will work under the joint supervision of Professor José Miguel Hernández Lobato (Department of Engineering) and Professor Andres Floto (Heart & Lung Research Institute).

The position forms part of a collaborative research programme aiming to define and predict the “permissive chemical space” for antibiotics in the pathogen Klebsiella pneumoniae, integrating high-throughput experimental measurements with state-of-the-art machine learning and generative AI approaches. The project brings together expertise in microbiology, chemistry, genomics, and artificial intelligence to develop predictive models and computational tools that guide the design of new antibiotics. The postholder will contribute to the development of predictive and generative machine learning methods that translate experimental measurements of compound retention and metabolism in bacteria into scalable computational models for drug discovery.

The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato, other members of the Cambridge Machine Learning Group and Andres Floto and his group members.

Key responsibilities include working on deep learning, deep generative modelling, and molecular design.

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

Successful applicants must have (or be close to obtaining) a PhD in Computer Science, Information Engineering, Statistics, Chemistry, Biology, or a related area, with extensive research experience and a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of deep learning, deep generative models, chemistry, biology.

Interviews are expected to happen in May and June 2026. Applicants are encouraged to guarantee that referees can submit their letters before such date. The interviews will be done via zoom.

Appointment at Research Associate level is dependent on having a PhD in Computer Science, Information Engineering, Statistics, Chemistry, Biology, or a related area. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Salary Ranges:

Research Assistant: GBP 33,002 – GBP 35,608

Research Associate: GBP 37,694 – GBP 46,049

Fixed-term: The funds for this post are available for 24 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.

Key Information

Department/location: Department of Engineering

Salary: £33,002-£46,049

Reference: NM49458

Category: Research

Date published: 17 April 2026

Closing date: 15 May 2026