Location: London, Devon House (St Katharine Docks)
Salary £38,000 – £45,000 per annum for Assistant Professor; up to £60,000 per annum for Associate Professor. Consideration will be given for a higher salary for an exceptional candidate in this subject area.
Benefits: Generous benefits package including 25 days holiday allowance pro rata (excl. Bank holidays), group life assurance, group income protection, pension schemes and private healthcare (optional)
Start: 1 September 2023 or ASAP; candidates will be interviewed on a rolling basis
Northeastern University London wishes to appoint an Assistant Professor (Teaching & Research) in Data Science. The appointee will be teaching undergraduate and postgraduate students and conduct innovative research in the area.
We wish to appoint a specialist in areas of Data Science including, but not limited to, financial technology, data-driven humanities and social sciences, cognitive science, information visualisation, and data mining. Preference may be given to candidates with active interests in the relationship of Data Science to one or more of the following areas: use of software and technology; employment contexts; diversity and inclusion.
Core duties will include: development and provision of innovative and inclusive teaching in relevant areas of Computer Science at undergraduate and postgraduate levels (e.g. Programming with Data, Foundations of Data Science, Data Engineering, Human Computer Interaction, and Information Visualisation); world-leading disciplinary and interdisciplinary research; and professional service commensurate to career stage.
We particularly encourage applications from those with an interest in innovative teaching, learning and assessment; those with experience of supporting a wide variety of students; and those belonging to groups underrepresented in UK higher education. We are open to appointing on a reduced fraction or job-share basis, subject to our business needs.
Computing, Mathematics, Engineering, and Natural Sciences is undergoing a major growth at Northeastern University London. It is home to four interdisciplinary undergraduate dual degree (in UK and US) programs in the areas of Data Science, Data Science and Politics, Computer Science and Business, and Computer Science and Philosophy; and four postgraduate programs in the areas of AI, Data Science, Software Engineering, and Digital Leadership.
The department is a major part of Northeastern University’s first-year student mobility program, offering undergraduate courses in Computer Science, Mathematics, Engineering, Physics, Biology, Chemistry and Healthcare, striving to inspire and equip entering students to be outstanding scientists.
Opportunities for disciplinary and interdisciplinary research and scholarship abound: the department aims to unite computing, engineering and natural sciences with humanities based on ground-breaking research and research-oriented teaching practices. The successful appointee will have an opportunity to join one of the research institutes at Northeastern University, based on expertise.
About the University
Based in the heart of London, Northeastern University London has developed a reputation for delivering an excellent university experience and has exceeded all Russell Group universities for overall student satisfaction in the UK’s National Student Survey for four consecutive years (2019, 2020, 2021 and 2022).
Small by design, Northeastern University London offers a vibrant, collegiate community delivering broad and academically rigorous degree programmes, designed to equip graduates with the combination of skills and knowledge that are increasingly desired by organisations, employers and society.
Northeastern University London is part of Northeastern University’s Global Campus Network. Ranked 44th in the USA, Northeastern has campuses in Arlington, Boston, Charlotte, Miami, Oakland, San Jose, and Seattle in the USA, and Toronto and Vancouver in Canada.
Informal enquiries may be made to Alexandros Koliousis, Associate Head for Computing, Engineering, and Natural Sciences ([email protected]). However, all applications must be made in accordance with the application process specified below.
Applications should be made by clicking the ‘Apply’ button above by 20:00 on the 31st of July 2023. Please reference your application “AAPDS0323”.
Please ensure that your application includes a CV and a cover letter that sets out concisely and in ways relevant to this role: (a) your achievements and challenges in the last 12 months, and in your career to-date, in education and research; (b) what your priorities would be in performing the advertised role; (c) what your objectives are for your future career; (d) a teaching statement summarising your approach to education; and (e) a research statement. You may use bullet points for (a)-(c); (d) and (e) should be no longer than a page each. You can consult our academic job description by clicking the button below.
Participation in the equal opportunities section is encouraged, but voluntary. Applications are welcome from all sections of the community and will be judged on merit alone. We welcome applications from underrepresented groups. Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. There is the possibility of sponsorship.
Person Specification Criteria
- PhD completed, or near completion (all but dissertation), or equivalent professional experience, in a relevant area (essential)
- FHEA status, or equivalent, achieved or expected (desirable)
- A teaching qualification (FHEA or equivalent).
- Demonstrates, through evidence, excellent ability so as to be adaptable, innovative, and inclusive in the role as advertised with regards to teaching, research, and service
- Willingness and ability to undertake world-leading collaborative, impact-focused projects, and large external research bids, involving colleagues across a range of disciplines as well as external partners
- Flexibility and capacity to teach across a wide range of courses, where appropriate in collaboration with specialists from other disciplines
- Ability to develop excellent educational provision in areas with significant appeal to students, including at postgraduate level
- Willingness and capacity to undertake continuous professional development in the use of technology, software, and data in relation to Data Science, and to teach on these matters
- Ability to engage and develop working relationships with external partners and with colleagues across diverse disciplines in Northeastern University London and across the Northeastern University network
- Willingness and capacity to exercise appropriate leadership in the development of data science, and to do so through collaboration with a range of disciplines