Artificial Intelligence Professor/Assistant Professor

9 hours ago

Edinburgh, Edinburgh, United Kingdom Heriot Watt University Full time
Professor/Assistant Professor in Data Science, AI, and Machine Learning

Full Time, Open Ended

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

This role presents a unique opportunity for a passionate individual 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.
  • Secure external research funding from national and international funding bodies to support research initiatives and collaborations.
  • 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.
Requirements
  • PhD in a 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.
  • 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.
  • Maintain awareness of my own digital wellbeing by being mindful of the length of time spent at a screen and the impact on mental and physical health in using digital technologies.
  • 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.

How to Apply

Applications can be submitted up until midnight on 30th September 2024. Interested candidates should submit a cover letter, curriculum vitae, a statement of research interests and teaching philosophy, and contact information for two academic references.

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