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Lecturer in Algorithmic Optimisation - Data Science - Machine Learning - Grade 8 (2 Posts)

University of Liverpool - Faculty of Science and Engineering - Computer Science

Location: Liverpool
Salary: £42,149 to £53,348 per annum (pro-rata)
Hours: Full Time
Contract Type: Permanent
Placed On: 11th November 2021
Closes: 10th January 2022
Job Ref: 036248

We seek to appoint 2 highly motivated, research-focused individuals as Lecturers in Algorithmic Optimisation/Data Science/Machine Learning in the Department of Computer Science, University of Liverpool. The successful candidates will undertake research of international standard and contribute to teaching modules and supervision of student projects in the department at undergraduate and postgraduate levels. The appointments will be based on the proven research track record or industrial experience of the candidates. We value both theoretical, applied, and interdisciplinary research and research leading to economic and social impact outside academia. We are particularly interested in applicants with experience in one or more of the following:

  • Optimisation algorithms, including integer programming and combinatorial optimisation.
  • Leveraging machine learning for optimisation and search, including deep learning and reinforcement learning for discrete and continuous optimisation.
  • Bayesian optimisation for experimental design, trade-offs between exploitation and exploration.
  • Machine learning for materials data: Feature engineering and data analytics, data science for solid crystalline materials, novel types of data with symmetries, materials fingerprints, geometric deep learning, and generative modelling.
  • Computational geometry, periodic geometry and topology, computational group theory.

Researchers with an excellent track record in other relevant areas will also be considered. We welcome applications from outside academia including those who would like to move to academic positions on a part-time basis while continuing working in industry. We welcome applications from all sectors of the community. This post is a full-time position but we recognise that many individuals value flexibility in their work/life balance and we will consider applications to work on a part-time, flexible and job share basis wherever possible (a minimum of 0.5 FTE). We are working to improve the gender balance in the Department of Computer Science, and we particularly encourage applications from women. Please note that in terms of responsibilities and recognition, the position of a newly appointed lecturer in the UK is comparable to that of an assistant professor in the United States.

For full details and to apply online, please visit: recruit.liverpool.ac.uk

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