Job Description

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 four new academics to it. This lectureship continues 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. This position is 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 http://www.manchester.ac.uk/cs.

The University actively fosters a culture of inclusion and diversity and will seek to achieve true equality of opportunity for all members of its community. The Department was awarded an Athena Swan Bronze award in 2017 and strongly encourages applications from all sections of the community.

For international applicants: A Senior Lecturer position corresponds to US associate professors with the same expectations, except that in the UK they are permanent or tenured from the start, subject to probation.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

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

Hybrid working arrangements may be considered.

Any recruitment enquiries from recruitment agencies should be directed to . Any CV\'s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Samuel Kaski

Email:

General enquiries:

Email:

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.

University of Manchester