Lecturer in Healthcare Artificial Intelligence & Cybersecurity

Ref Number

B02-07990

Professional Expertise

Academic

Department

School of Life & Medical Sciences (B02)

Location

London

Working Pattern

Full time

Salary

£52,487–£61,534

Contract Type

Permanent

Working Type

Hybrid

Available for Secondment

No

Closing Date

29-Nov-2024

About us

UCL established the Institute of Health Informatics (IHI) in August 2014 in the Faculty of Population Health Sciences. The aim of IHI is to conduct high quality data-intensive research to improve health at local, national, and international levels.

The Faculty of Population Health Sciences has established itself as UCL’s largest research-based faculty, encompassing eight institutes. More information available at www.ucl.ac.uk/population-health-sciences/.

About the role

Institute of Health Informatics is looking to appoint a Lecturer in Healthcare Artificial Intelligence & Cybersecurity to join our welcoming and vibrant Institute.

This position presents a unique opportunity to join a team of experienced health data scientists, informaticians, statisticians, and clinical epidemiologists and contribute significantly to the statistical analysis and subsequent presentation of results from large scale national and rich local health record data resources. The Lecturer will lead their own research, in line with the existing portfolio of the IHI and will demonstrate an active engagement with the interface between research and education by delivering teaching and supervising students; and will be expected to support the development of early career researchers.

A full range of duties can be found on the attached job description.

About you

If you believe you meet the requirements, why not come and be part of this unique and exciting opportunity and be part of something where you feel included, valued, and proud.

The Lecturer must have a PhD in a relevant area as well as an appropriate track record of high-quality research outputs in the field of Artificial Intelligence / Machine Learning, and clear and ambitious plans for future research in relevant areas. The role holder will have a proven ability and commitment to carry out high-quality original research, and the ability to write, understand, and edit code in at least one language (e.g. Python, C, Java, etc.) and familiarity with scientific libraries and popular APIs.

Please review the job description before applying, paying particular attention to the essential / desirable criteria, and ensure your experience in these areas is addressed in your application.

What we offer

We will consider applicants to work on a part-time, flexible, and job share wherever possible.

As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are: 41 Days holiday (pro rata for part-time staff) (27 days annual leave, 8 bank holidays, and 6 closure days), cycle to work scheme, season ticket loan, on-site gym, and employee assistance programme.

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Our commitment to Equality, Diversity, and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.

You can read more about our commitment to Equality, Diversity, and Inclusion here.