Accessibility Tools

Job details

Lecturer (grade 7) or Senior Lecturer (grade 8) in Machine Learning
Sackville Street, Manchester

Job reference: SAE-018697

Location: Sackville Street, Manchester

Closing date (DD/MM/YYYY): 05/05/2022

Salary: Grade 7, £42,149 to £51,799 or Grade 8, £53,348 to £63,668 per annum, depending on relevant experience

Employment type: Permanent

Faculty/Organisation: Science and Engineering

Division: Computer Science

Hours per week: full time

Contract Duration: Permanent

School / Directorate: School of Computer Science

Now is the time to join the University of Manchester when it is significantly boosting its activities in Machine Learning.​​​​​​​

The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields in the University, which give high-profile application and collaboration opportunities for the outcomes of fundamental AI research. The university is one of the most active partners of the national Alan Turing Institute, hosts 27 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems ELLIS, in the new ELLIS Unit Manchester. The university’s ambition is to establish a leading AI centre at the cross section of these opportunities. The university has recently launched a Centre for AI Fundamentals and has already recruited three new academics to it. These two lectureships continue this series of positions in establishing the new Centre.

Applications are welcome in any area of the fundamentals of machine learning, in particular probabilistic modelling, deep learning, reinforcement learning, causal modelling, human-in-the-loop ML, explainable AI, ethics, privacy and security. These positions are meant to contribute to machine learning methodologies and not purely to their applications, but note that applications of ML are highly valued within the University.  You are expected to be interested in building your career by contributing to the new centre and exploring collaboration opportunities in both methods and applications in the university, in addition to building international networks.

You will be located in the Department of Computer Science and, in addition to the new centre for Fundamental AI research, you will belong to a large community of machine learning, data science and AI researchers. The university takes pride in its ability to collaborate seamlessly across its departments, schools and faculties. Some of the most useful links include the Alan Turing Institute, ELLIS, the Institute for Data Science and Artificial Intelligence, and the new Christabel Pankhurst Institute for Health Technology.

As a Manchester staff member, you will be fully supported in application to become a Turing Fellow, with the benefits of facilitated collaboration with other top institutes across the UK. As a member of the Department of Computer Science, you will have access to the outstanding students and interns in both CS and mathematics.  You will have a start-up travel budget and given priority for a PhD studentship. As a member of the Centre for Fundamental AI research you will have access to its networks and collaboration. We encourage industry collaboration that is beneficial for research and we are flexible regarding part-time positions with industry.

The Department of Computer Science is a leading research institution, and values exceptional researchers.  You will publish to the highest standards, secure external research funding, pursue real-world impact, and contribute to the PhD training programmes within the Department.

The Department of Computer Science values exceptional teachers. You will play a key role in maintaining our reputation as an institute of learning – designing and delivering innovative UG/PG topics, both in ML and across the spectrum of Computer Science.  Exceptional teachers are encouraged to demonstrate this in their application.

Information about the Department of Computer Science can be found at

The School/Department is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School/Department holds a Bronze Award for their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff to achieve a god work-life balance. We positively welcome applications from women for this post. All appointments will always be made on merit. For further information, please visit:

Our University is positive about flexible working – you can find out more here

Blended working arrangements may be considered   

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Samuel Kaski


General enquiries:


Technical support:

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.


The closing date for this job has now passed.