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Data Science Professor

2 months ago


Edinburgh, Edinburgh, United Kingdom Heriot-Watt University Full time
Job Opportunity

We are seeking a highly qualified and motivated individual to join our dynamic team as a Professor in Data Science, specializing in Artificial Intelligence (AI) and Machine Learning (ML).

About the Role

This is a unique opportunity to contribute significantly to pioneering research, advanced teaching, and impactful knowledge exchange within the domain of Geoenergy Engineering.

Key Responsibilities
  • Conduct innovative research in data science, AI, and machine learning applied to geoenergy engineering, with a focus on areas such as reservoir characterization, fluid flow modelling, and energy optimization.
  • Publish high-quality research outputs in leading peer-reviewed journals and present findings at international conferences.
  • Contribute to the development and delivery of postgraduate courses related to data science, AI, and ML within the Institute of Geoenergy Engineering.
  • Supervise and mentor postgraduate research students, fostering their intellectual and professional development.
  • Engage in collaborative projects with industry partners and contribute to knowledge exchange activities to ensure the impact of research outcomes.
Leadership Responsibilities
  • Doctoral training centres (publicly funded or by industry)
  • Joint Industry Projects (JIP) on AI/Data Sciences
  • Teaching (across different modes such as BSc, MSc, CPD, executive education)
  • Mentoring and line-management of academic staff
Requirements
  • PhD in relevant discipline
  • Established track record of high-quality published research
  • A record of involvement in applications for external funding for research and/or knowledge transfer
  • Experience of co-supervising dissertation projects across the range of undergraduate/postgraduate and of supervising doctoral students
  • Experience of providing contributing to high quality teaching across a range of programmes at undergraduate and postgraduate level preferably including online/digital programmes
  • Experience of contributing to designing and delivering course modules
  • Evidence of successful co-ordination, support, supervision, management and/or mentoring of others
  • Ability and willingness to learn new digital skills and capabilities appropriate to your role and how it evolves
Desirable Criteria
  • Higher Education teaching qualification or equivalent e.g. PGCert and/or holding an Associate Fellow of the Higher Education Academy (HEA) and be working towards Fellowship