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Artificial Intelligence Professor/Assistant Professor
2 months ago
Heriot-Watt University is seeking a highly qualified and motivated individual to join our dynamic team as a Full/Associate/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.
- Professor/Associate Professor roles include leadership responsibilities, including but not limited to:
- 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)
- Strong networking vision to better link HWU activities in AI for geoenergy into national academic and industry networks.
- Strong cross-disciplinary vision to expand data science/AI beyond subsurface energy towards wider NetZero engineering/geoscience field.
- Mentoring and line-management of academic staff
- PhD in relevant discipline
- Higher Education teaching qualification or equivalent
- A track record of publication in peer-reviewed journals to levels of outstanding international excellence and a strong REF profile
- A record of securing research grants/external funding and delivering on research projects
- A significant record of attracting and supervising research students
- Experience of delivering high quality, inspirational and motivational teaching at undergraduate and postgraduate levels preferably including online/digital programmes
- Extensive knowledge of issues and challenges facing universities in such areas as curriculum design, course assessment, quality assurance, enhanced student experience and unregulated income generation
- A track record of academic leadership in research, teaching, and learning
- Extensive internal and external networks with the ability to instigate activity
Heriot-Watt University values diversity across our community and welcomes applications from all sectors of society, particularly from underrepresented groups.
