Lecturer in Mathematics (Data Science)

University of Greenwich; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

The University of Greenwich seeks two Lecturers in Mathematics, focusing on teaching and research in a collaborative environment. Candidates must hold a PhD in a relevant field and demonstrate expertise in teaching and research, particularly in Data Science applications.

Qualifications

• Strong research profile and teaching expertise required.
• Experience in student supervision at undergraduate and postgraduate levels.
• Desire to collaborate in multi-disciplinary research and knowledge exchange.

Responsibilities

• Participate and lead in teaching and research activities.
• Contribute to the development of undergraduate and postgraduate modules.
• Engage in research and knowledge exchange bids.

Skills

Teaching

Research

Knowledge Exchange

Data Science applications

GDPR compliance

Education

PhD in Computer Science, Engineering, or closely related field

Job description

The School of Computing and Mathematical Sciences at the University of Greenwich is seeking to recruit two new Lecturers in Mathematics, with expertise in Teaching, Research, and Knowledge Exchange in their field and solid experience in Data Science applications. This is an opportunity to join a vibrant teaching and research environment, with over 120 staff and PhD students working on current and future challenges in Computer Science, AI, Cyber Security, and Mathematical Sciences.

We expect candidates to have a background that complements existing research activities related to their expertise. These posts will be allocated to one of the University’s Career Pathways, involving participation and leadership in Teaching, with a strong emphasis on Research and Enterprise.

The successful candidates will work closely with academic teams in the School of Computing & Mathematical Sciences and contribute to existing Teaching, Research, and Enterprise. Candidates should demonstrate a strong research profile, teaching expertise, and student supervision experience at undergraduate and postgraduate levels. A PhD in Computer Science, Engineering, or a closely related field is required.

Experience delivering systems according to GDPR compliance would be desirable.

Candidates must demonstrate eagerness to collaborate with colleagues within the School and the University. Experience in multi-disciplinary research, participation in Research and Knowledge Exchange bids, and developing new undergraduate or postgraduate modules are highly desirable.

The school offers ambitious and motivated individuals the opportunity to develop their research and teaching profiles within a positive and innovative academic environment.