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lecturer in Symbolic Artificial Intelligence for Autonomous Systems
Oxford Road, Manchester

Job reference: SAE-018509

Location: Oxford Road, Manchester

Closing date (DD/MM/YYYY): 11/04/2022

Salary: £42,149 to £51,799 per annum (depending on experience)

Employment type: Permanent

Faculty/Organisation: Science and Engineering

Division: Computer Science

Hours per week: full time

Contract Duration: Permanent

School / Directorate: School of Engineering

This is an exceptional opportunity to join the University of Manchester’s activities in symbolic artificial intelligence, particularly relating to autonomous systems, multi-agent systems, agent-based systems and artificial intelligence planning.  The University is investing heavily for the future, with focus on areas of national importance such as health, security, smart cities, robotics, advanced materials and data-intensive sciences such as physics, astronomy and biology. As a member of staff you will contribute to our international portfolio of research in the Autonomy and Verification (A&V) group and be willing to engage across discipline boundaries to apply your work. 

You will join the Autonomy and Verification group

https://www.cs.manchester.ac.uk/research/expertise/autonomy-and-verification/

and be part of the wider pan-university community tackling autonomy and verification.

   https://autonomy-and-verification.github.io/members

As a Manchester staff member you will be supported in application for Fellowships and other funding opportunities, with the benefits of facilitated collaboration with the foremost institutes across the UK.

The Department of Computer Science is a high-quality 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 PGR training programmes within the School of Engineering.

The Department also values exceptional teachers. You will play a key role in maintaining our reputation as an institute of learning – designing and delivering innovative UG/PG teaching, undergraduate and postgraduate projects in Computer Science.  Applicants are expected to demonstrate their enthusiasm for teaching, their experience and their capabilities in their application.

Please upload these as one PDF document 

  • a full academic CV
  • a 1-page description of your vision of the future of symbolic AI for autonomous systems and your research plans, with an indication of how you will secure funding for research and with whom you might collaborate, both inside/outside the University.
  • a brief statement on teaching, listing technical areas within our current Computer Science curriculum to which you could contribute, at both the undergraduate and postgraduate level, highlighting experience and indicating the teaching methods that you think would be appropriate.

Information about the Department of Computer Science can be found at https://www.cs.manchester.ac.uk/.  

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: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/

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: contact Head of the A&V Group, Dr Louise Dennis

Email: louise.dennis@manchester.ac.uk

General enquiries:

Email: People-od.operations@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

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.

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