Assistant or Associate Professor in Artificial Intelligence (Research and Education) - School of Computer Science - 101425 - Grade 8 or 9

United Kingdom

University of Birmingham

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Position Details

School of Computer Science

Location: University of Birmingham, Edgbaston, Birmingham UK 

Grade 8 Full time starting salary is normally in the range £46,485 to £55,295 with potential progression once in post to £62,098

Grade 9 Full time starting salary is normally in the range £56,921 to £65,814 with potential progression once in post to £85,544

Grade: 8 or 9

Full Time, Permanent

Closing date: 8th January 2025

 

Background

The School of Computer Science at the University of Birmingham is recruiting new academic staff to pursue its ambitions as one of the leading UK universities for computer science. 

We seek to recruit in the area of Artificial Intelligence (AI). The candidate will have research background and interests in either the theory underlying AI, or in the methodology development and application of AI to scientific or industrial application domains. This may include, but is not limited to, engineering principles for fair and safe AI, distributed machine learning, mathematical underpinnings for deep learning, mathematical optimization, or physics-based models for AI. In this research, you will have the opportunity to work with academics within the Institute for Data & AI, including from sciences, engineering, mathematics, health, social sciences and environmental sustainability. 

Computer Science at the University of Birmingham is one of the leading UK institutions for research and teaching in computer science. Our research is ranked 3rd across all UK universities according to the latest UK-wide Research Excellence Framework. Education is ranked 5th in the UK for computer science, according to 2024 tables. While pursuing excellence in research and education, we also aim to optimize our positive impact on society—examples include collaborations with industry partners and charities, commercialisation activities and an extensive wider participation programme. To support its aims, the School offers a vibrant, open and intellectually stimulating work environment in its dedicated computer science building, educating over 2000 students.

We value diversity and inclusion and welcome applications from all sections of the community and are open to discussions around all forms of flexible working. We support and mentor new staff through the Academic Development Programme, which provides a 5-year development programme, at the end of which staff are expected to be promoted to Associate Professor. The programme consists of a variety of development opportunities and the time to reflect and develop, provides mentoring, grant writing workshops/training and exposes you to colleagues across the disciplines and in our business and entrepreneurship units.

The post is within the School of Computer Science, and candidates will be encouraged to identify connections with researchers in other disciplines across the University (including sciences, mathematics, medicine or social sciences). 

Role Summary

The role holder will be based in Edgbaston. The key duties and responsibilities will include but not be limited to: giving lectures and seminars and supervising undergraduate / post-graduate students, course development and innovation, taking an active part in examinations, carrying out innovative research and writing papers on topics relevant to the specialist subject area (this will include journals, books and other material), and obtaining research grant funding.

The successful applicant will have a PhD in a relevant specialist subject area, as well as postdoctoral experience. We are looking for candidates who will actively contribute to our portfolio and community, through pursuit of research that will bring new opportunities, synergies, and interdisciplinary collaboration. The successful candidate will also have a track record in teaching at a higher education institution.

Appointments will be made at either an Assistant Professor or Associate Professor level please specify which role you are applying for in the application

 

To download the full job description please click here:

Grade 8

Grade 9 

 

When applying, candidates are required to upload: 

CV, which includes full citations, and identifies the candidate’s selected 4 ‘best’ publications in the last 5 years, with accessible URLs.

 

Candidates are strongly encouraged to upload the documents listed below to support their applications: 

Research Statement 

Teaching Statement 

Covering letter (optional, the candidate can choose to fill in the portal form instead) 

 

This advert will close on January 8, 2025. We follow a two-stage appointment process: in January, longlisted candidates will be invited to give an online, 20-minute research presentation, based on which shortlisting takes place. Shortlisted candidates will then be invited to visit the University of Birmingham (February), meet with staff members and students (if possible), and conduct a panel interview.

 

Informal enquiries to Prof Ata Kaban, email: a.kaban@bham.ac.uk. For general enquiries to the Head of School, Prof. Aad van Moorsel, email: a.vanmoorsel@bham.ac.uk.

 

We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website.

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Tags: Athena Computer Science Deep Learning Engineering Industrial Machine Learning Mathematics PhD Physics Research Teaching

Perks/benefits: Career development Flex hours

Region: Europe
Country: United Kingdom

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