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A powerful new AI tool called Diag2Diag is revolutionizing fusion research by filling in missing plasma data with synthetic yet highly detailed information. Developed by Princeton scientists and international collaborators, this system uses sensor input to predict readings other diagnostics can’t capture, especially in the crucial plasma edge region where stability determines performance. By reducing reliance on bulky hardware, it promises to make future fusion reactors more compact, affordable, and reliable.

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Key Performance Area

Deliver high-quality and innovative teaching across undergraduate and postgraduate programmes, designing assessments that support student success. Supervise and mentor research students, ensuring academic integrity and ethical practice. Lead curriculum development and review to maintain academic relevance and industry alignment. Conduct individual and collaborative research, build a strong publication record, and pursue external funding opportunities. Provide academic leadership, mentor junior staff, and foster a collaborative departmental environment. Contribute to governance through active participation in committees and support institutional quality assurance and strategic initiatives. Assist with student selection, registration, and advising in line with university policies. Lead outreach and capacity-building initiatives with community and industry partners. Perform any other reasonable duties as assigned by the Head of Department or senior leadership.

Job Requirements 

A Master’s degree (NQF Level 9) in Artificial Intelligence, Computer Science, Data Science, with at least four (4) years of

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Key Performance Areas

Deliver effective and high-quality teaching, learning experiences, and assessments; supervise student research projects; contribute to departmental administration and governance, actively participate in curriculum development and review processes; engage in research activities and develop a robust portfolio of publications; participate in relevant departmental, faculty, and university committees to support institutional goals; assist in the selection and registration of students, ensuring alignment with academic standards; provide capacity-building services to the community, fostering outreach and engagement and fulfil any additional reasonable tasks and responsibilities as assigned by superiors.

 Job Requirements

A Doctorate (NQF Level 10) in Highway Engineering/Transport Engineering, Civil Engineering, or related field with at least seven (7) years of lecturing experience at tertiary education level and/or industry experience, or an equivalent combination of relevant professional experience.  Excellent English communication skills (oral and written).  Proven competence in sourcing of research or project funding

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