Assistant Professor in Statistical Data Science

Heriot-Watt University
Kilmarnock
2 days ago
Create job alert
Assistant Professor in Statistical Data Science

Join to apply for the Assistant Professor in Statistical Data Science role at Heriot-Watt University.

Overview

The Department of Actuarial Mathematics and Statistics at Heriot-Watt University, Edinburgh, is seeking to enhance and expand its strengths in research and teaching by appointing an Assistant Professor in Statistical Data Science, or related area. This is an open-ended position.

Role and Responsibilities
  • Lead, carry out and publish internationally excellent research in statistical data science, or a related field.
  • Apply for research funding through either the submission of high-quality grant proposals or funding from industry, with the goal of building a research group.
  • Undertake knowledge exchange activities to promote and disseminate research.
  • Carry out administrative and recruitment activities as required to achieve these aims.
  • Develop and deliver innovative teaching in statistics, actuarial science, financial mathematics or related fields at undergraduate and postgraduate level.
  • Teach on the Data Science joint programme with Xidian University.
  • Be responsible to the Head of Department for performing the above activities in a way that maintains and enhances the School’s reputation for excellence.
Education, Qualifications and Experience

As a successful candidate, you will lead, carry out and publish internationally excellent research in your field. You will have a strong track record of research in actuarial data science, which may also include machine learning, financial risk and climate change risk, demonstrated through publications, citations, external invitations and research funding.

You will be established as an international research leader, with the ambition to build a world-class academic group and have the experience or potential to supervise PhD students and post-doctoral researchers. You will have the relevant experience to engage in and innovate our specialised statistical, data science, actuarial and financial degree programmes. You will have the drive and commitment to contribute to the expansion of our teaching programmes.

Essential Criteria
  • E1. PhD in statistics, or related field.
  • E2. Track-record of high-quality research in statistical data science with internationally excellent publications.
  • E3. Demonstrable teaching experience related to the Department’s courses, as well as skills to supervise undergraduate and postgraduate dissertations in Statistical Data Science.
  • E4. Excellent interpersonal and teamwork skills.
Desirable Criteria
  • D1. Track record of obtaining research funding.
  • D2. Track record of successful supervision of PhD students and/or post-doctoral researchers.
  • D3. Potential to provide leadership in the development and implementation of research strategy and in the planning, organisation and development of learning and teaching activities in the Department.
How to Apply

Interested applicants must submit via the Heriot-Watt University online recruitment system: (1) a cover letter describing interest and suitability for the post; (2) a full CV, including a list of publications; (3) an outline of research plans for the next few years; and (4) a one-page summary of teaching philosophy or approach.

Applications can be submitted until midnight on Monday 2 February 2026. Shortlisting is expected in the week of 9 February, with interviews in late February or early March.

Contact

If you have questions, you may contact the Head of Department, Professor George Streftaris ().

About the Institution

Heriot-Watt University values diversity and equality of opportunity in employment and aims to create an inclusive environment. The university is committed to equality and diversity and welcomes applications from all sectors of society.


#J-18808-Ljbffr

Related Jobs

View all jobs

Assistant Professor in Statistical Data Science

Assistant Professor in Actuarial Data Science (T&R)

Assistant Professor in Actuarial Data Science (T&R)

Assistant Professor in Actuarial Data Science (T&R)

Assistant Professor in Actuarial Data Science (T&R)

Research Assistant/Associate in Exoplanetary Remote Sensing and Data Science (up to 2 posts) (F[...]

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.