Associate Professor in Computer Science

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Full time
Location: Bath
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Job offered by: Durham University
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Category:
We welcome applications from candidates with disabilities, neurodiversity and long-term health conditions, and we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the recruitment and interview process wherever it is reasonable to do so and, where successful, adjustments will be made to support people within their role. If you are unable to complete your application via our recruitment system or would like to discuss any reasonable adjustments to support you in the application process, please get in touch with us on e.recruitment@durham.ac.uk Job Description - Associate Professor in Computer Science (24002188)

Department of Computer Science Open-Ended/Permanent - Full Time Closing Date

31-Jan-2025, 11:59:00 PM Disclosure and Barring Service Requirement: Not Applicable. Working at Durham University

A globally outstanding centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an incredible place to define your career. The University is located within a beautiful historic city, home to a UNESCO World Heritage Site, and surrounded by stunning countryside. The Department of Computer Science is one of the UK’s leading departments, with an outstanding reputation in research, teaching, and student employability. Our internationally recognised research covers Algorithms and Complexity, Artificial Intelligence and Human Systems, Networks, Scientific Computing and Vision, Imaging and Visualisation. The Department holds an Athena SWAN Silver award, recognising the advancement of gender equality in academia. The Department of Computer Science seeks to appoint a talented individual to the role of Associate Professor. This is a permanent position. We welcome applications from those with research interests in decision-making inherent to areas such as climate, environmental, economic, and policy pathways, supported by Digital Twins (Modelling, Simulations and Infrastructures), and applied AI and uncertainty quantification. Key Responsibilities

Pursue interdisciplinary research in computer science that is high quality in terms of originality, significance and rigour. Contribute to achieving the objectives of JusTN0W. Deliver excellent teaching offering lectures, seminars and tutorials at undergraduate and taught postgraduate levels. Attract and provide excellent supervision to research students. Contribute significantly to the administrative functioning and collegial environment of the Department. Person Specification

Research:

Candidates must demonstrate research excellence in the field of Digital Twins and Applied AI, with the ability to teach and engage in the services and values of the University. Qualifications: a first degree and a PhD (or close to completion) in Computer Science, Law, or a related subject. Evidence of engagement in successful research projects and quality research grant proposals. Evidence of high-quality outputs, some of which is recognised as internationally excellent or world-class. Education:

Candidates must demonstrate the development and delivery of high-quality teaching that contributes to providing a supportive learning environment. Evidence of the development and delivery of effective and engaging teaching. Experience in new programme development and innovation in teaching. Services, Citizenship and Values:

Active engagement in administrative and citizenship requirements and fostering a respectful environment. Evidence of participation in departmental or university activities. Excellent oral and written communication skills. How to Apply

We prefer to receive applications online. All applicants are asked to submit: A CV A covering letter Personal research plan Two significant pieces of written work. An EDI & values statement. For academic enquiries, please contact Dr Nelly Bencomo at nelly.bencomo@durham.ac.uk

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