Assistant or Associate Professor (Teaching & Scholarship) in Data Science x 2

Job Description

Position Overview

Location: London, Devon House (St Katherines Dock)

Salary Range: £47,321 to £54,827, progressing to £58,155 once in post, for Assistant Professor; £56,467 to £69,404, progressing to £75,833 once in post, for Associate Professor

Direct Reports: Assistant Professor: None

Associate Professor: Reports allocated based on business needs

Reports to: Academic Director, Centre for Apprenticeships

Benefits: The university supports staff maintaining a good work/life balance, offer flexible working and parental leave opportunities, an Employee Assistance Programme which provides free, confidential advice on both home and work concerns as well as optional private medical insurance, season ticket loans and being part of the cycle to work scheme.

Start: Immediate / December 2024 / January 2025

The Role

Northeastern University London invites applications for an Assistant or Associate Professor in Data Science. The appointee will be teaching undergraduate and postgraduate students and provide service in line with the evolving needs and aspirations of the Centre and University. Appointments will be commensurate with experience and qualifications reflecting a record of demonstrated teaching and service excellence.

The appointee will help develop our UK undergraduate and postgraduate degree apprenticeship programmes including but not limited to the area of Data Science, and provide general service to the University. In the first instance, the successful candidate will be expected to contribute to the development and delivery of the university’s online BSc Data Science and MSc Artificial Intelligence and Data Science.

We wish to appoint a specialist in Data Science. Preference may be given to candidates with experience of English apprenticeships and active interests in data science, software engineering, and machine learning.

Core duties will include the development and teaching of cutting-edge courses in Data Science both online and on campus, assessment and moderation, student support, peer review, etc. Indicative subject areas may include (but are not limited to) machine learning, data driven analytics, data synthesis, and data engineering.

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/job-share basis subject to our business needs.

About the Faculty

The recently formed Centre for Apprenticeships is the home of the University’s apprenticeship and work-related learning programmes and promotes excellence in work-based learning, online teaching, and partner-engaged instructional design. Apprenticeships represent a gold-standard of experiential education. They combine academically rigorous HE programmes with the real-world tasks and challenges that learners encounter daily in the workplace. The Centre champions this style of learning and represents the faculty and learners that form a rapidly growing part of NU London’s community.

About the University

Founded in 2012, Northeastern University London (formerly known as New College of the Humanities) has established itself as a prestigious higher education institution based in the heart of London. Northeastern University London is part of Northeastern University’s Global Campus Network. Positioned as top ranking 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.

After becoming part of Northeastern University’s global network in early 2019, the University has undergone a period of rapid growth, having been granted Taught Degree Awarding Powers in February 2020 and moved to a new, state-of-the-art campus in 2021.

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. It offers state of the art audio visual technology in its teaching and meeting spaces across the organisation.

Person Specification Criteria

To undertake this role, the following should apply—should you not have the experience below, please do highlight where transferable skills would assist with you undertaking the role. Unless specified, all criteria are considered essential.

Qualifications

For Assistant Professor:

• PhD completed, or near completion (all but dissertation), or equivalent professional experience, in a relevant area.
• FHEA status, or equivalent, achieved or expected (desirable)

For Associate Professor:

• PhD completed, or equivalent professional experience, in a relevant area.
• FHEA status or equivalent.

Key Criteria

For Assistant Professor:

• Demonstrates, through evidence, excellent ability to be adaptable, innovative, and inclusive in the role as advertised with regards to teaching and service

For Associate Professor:

• Demonstrates, through evidence, excellent intellectual and practical leadership to be adaptable, innovative, and inclusive in teaching and service.
• Willingness and capacity to undertake academic leadership tasks, including line management and leadership of strategic projects, as well as continuous professional development for such purposes.
• Willingness and capacity to engage and develop working relationships with external partners and with colleagues across diverse disciplines in Northeastern University London and across the Northeastern University global network, as well as undertake continuous professional development for such purposes.

For both:

• Willingness and capacity to undertake continuous professional development in relation to institutionally strategic themes, including but not limited to technology, data, sustainability, and ethics.
• Ability to develop excellent educational provision in areas with significant appeal to students, including at postgraduate level, and with a focus on experiential learning.
• Flexibility and capacity to teach across a wide range of courses, where appropriate in collaboration with specialists from other disciplines
• Teaching competency in Data Science to Levels 4–7 (i.e., all undergraduate and postgraduate levels)
• Excellent written and verbal interpersonal and communication skills including presentation skills, both face-to-face and online
• Excellent IT skills and evidence of supporting the integration of technologies into learning and teaching.
• Excellent time-management and organisational skills

Additional Information

Enquiries

Role specific enquiries may be made to Dr Yu-Chun Pan, Director of Experiential Learning (yu-chun.pan@nulondon.ac.uk). However, all applications must be made in accordance with the application process specified.

Application Process

Applications should be made via the 'Apply' button above by 23:59 on 6 October 2024. Please reference your application “APDS0924”.

Participation in the equal opportunities section is encouraged, but voluntary.

Applications must include a full curriculum vitae, a cover letter that sets out concisely and in ways relevant to this role how the applicant meets the person specification criteria, and a teaching statement (1 page maximum).

Interviews are likely to take place across weeks commencing 28 October 2024 and 4 November 2024.

Please note this role may require a basic or enhanced DBS check. Our organisation acknowledges the duty of care to safeguard, protect and promote the welfare of our students and staff, and is committed to ensuring safeguarding practice reflects statutory responsibilities, government guidance and complies with best practice and Ofsted requirements. You must adhere to the above if you are offered a role with NU London.

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.

Job sponsorship. Visa sponsorship may be available for a successful candidate for this position.