Lecturer in Theoretical Computer Science (Teaching and Research)

Are you an academic with a proven ability to carry out teaching and research in theoretical computer science or related topics? Do you have an excellent research record and proven success obtaining funding? Are you passionate about delivering an exceptional student experience in a research-intensive Russell Group University?

The School of Computer Science at the University of Leeds is a highly ranked academic department (top 10 in UK REF2021) with a vibrant research culture and a commitment to excellence in our teaching. The School spans research across Algorithms & Complexity (AC); Artificial Intelligence & Robotics (AI); Computational Science & Engineering (CSE); Computing in Biology, Medicine & Health (BMH); and Distributed Systems & Services (DSS).

We are looking to appoint a Lecturer in Theoretical Computer Science. We are seeking an academic with a track record of research excellence that aligns with the School’s Algorithms and Complexity Research Theme, and in particular that has research expertise at the interface of Discrete Mathematics and algorithmic aspects of Theoretical Computer Science. The candidate also needs to make a strong contribution to our teaching and to the delivery of an exceptional student experience.

You will work closely with other staff in the theme. You will carry out research, teaching and management within the school, faculty and university and contribute to academic leadership in the field of Computer Science. 

The School of Computing is a friendly place to work, with staff working in flexible ways in both teaching and research. We encourage colleagues to apply from a diverse range of backgrounds and we try and provide a supportive environment to help your career flourish.

You will be expected to align with the University’s new 10-year strategy: University Values and Global Change (https://spotlight.leeds.ac.uk/strategy/) and our institutional values: collaboration, compassion, inclusivity and integrity. 

We are open to discussing flexible working arrangements. 

Your application should include: 

• A short research statement outlining your research vision and future funding strategy. You should explain how your research aligns with the School of Computing and wider university research strengths, and how you would utilise and build upon established facilities and expertise;

• A short statement of your teaching experience. You should explain how your teaching philosophy aligns with the University of Leeds student education strategy available here: https://spotlight.leeds.ac.uk/strategy-student-education/index.html. A supporting statement evidencing how you believe your existing knowledge and experience equips you to carry out the role; 

• A copy of your curriculum vitae giving full details of qualifications, research and teaching experience and a record of research grants and publications. 

To explore the post further or for any queries you may have, please contact: 

Prof. Kristina Vušković, Leader of Algorithms and Complexity Research Theme 

Email: K.Vuskovic@leeds.ac.uk 

Grade 7 - Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.

What we offer in return

26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!Generous pension scheme plus life assurance – the University contributes 14.5% of salary. Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.Personal Development: Access to courses run by our Organisational Development & Professional Learning team.Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

Closing Date: 24 Mar 2025

Section: Academic

Salary: £39,355 to £57,422 p.a.