Lecturer/Senior Lecturer/Reader/Professor in Mathematical or Statistical Data Science

Lecturer/Senior Lecturer/Reader/Professor in Mathematical or Statistical Data Science

Full-Time 55000 - 65000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Lead research and teaching in Mathematical and Statistical Data Science.
  • Company: Join Newcastle University, a leader in STEM education and research.
  • Benefits: Competitive salary, opportunities for funding, and a supportive work environment.
  • Other info: Commitment to diversity and gender equality in STEM fields.
  • Why this job: Shape the future of data science and AI while making a real impact.
  • Qualifications: Strong background in Mathematical or Statistical Data Science required.

The predicted salary is between 55000 - 65000 € per year.

We invite applications for Lecturer – Professor level in Mathematical or Statistical Data Science within the Statistics and Data Science section of the School of Mathematics, Statistics & Physics at Newcastle University. The successful candidate will be expected to carry out excellent research and teaching in an area of Mathematical and/or Statistical Data Science that complements and strengthens the School’s existing activities.

Key Responsibilities

  • Carry out excellent research and teaching in Mathematical and/or Statistical Data Science.
  • Act as a key contributor to the Data Science 2030 (DS2030) and AI2030 projects, helping to broaden the university’s data science and artificial intelligence offerings.
  • Provide leadership on ambitious academic initiatives such as securing large-scale funding opportunities and developing new educational provision.

EEO Statement

All applicants who fulfil the criteria are welcome. We are keen to offer opportunities, where possible, to people from groups who are currently underrepresented in STEM disciplines in the UK. We are the proud recipients of an institutional gold Athena SWAN award and a unit-level silver award, demonstrating our achievements and ongoing commitment to achieving gender equality.

Lecturer/Senior Lecturer/Reader/Professor in Mathematical or Statistical Data Science employer: Newcastle University

Newcastle University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of Mathematical and Statistical Data Science. With a strong commitment to research excellence and teaching, employees benefit from extensive professional development opportunities, including involvement in pioneering projects like Data Science 2030 and AI2030. The university's dedication to diversity and inclusion, highlighted by its prestigious Athena SWAN awards, ensures a supportive environment for all staff, making it an ideal place for those seeking meaningful and rewarding careers in academia.

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Contact Detail:

Newcastle University Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Lecturer/Senior Lecturer/Reader/Professor in Mathematical or Statistical Data Science

Tip Number 1

Network like a pro! Reach out to current staff or alumni from Newcastle University. A friendly chat can give you insider info about the department and might even lead to a recommendation.

Tip Number 2

Show off your research! Prepare a presentation that highlights your past work and how it aligns with the Data Science 2030 and AI2030 projects. This will demonstrate your commitment to the university's goals.

Tip Number 3

Be ready for the interview! Brush up on common academic interview questions and think about how you can contribute to securing funding opportunities. We want to see your passion for teaching and research!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Lecturer/Senior Lecturer/Reader/Professor in Mathematical or Statistical Data Science

Research Skills
Teaching Skills
Mathematical Data Science
Statistical Data Science
Leadership
Project Management
Funding Acquisition

Some tips for your application 🫡

Show Off Your Research:Make sure to highlight your research experience in Mathematical or Statistical Data Science. We want to see how your work aligns with our existing activities and how you can contribute to projects like DS2030 and AI2030.

Tailor Your Teaching Philosophy:When discussing your teaching approach, be specific about how you engage students in data science. We’re looking for innovative ideas that can enhance our educational offerings, so let your passion shine through!

Leadership Matters:Don’t forget to mention any leadership roles you've held, especially in securing funding or developing new programmes. We value candidates who can drive ambitious academic initiatives and help us grow.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!

How to prepare for a job interview at Newcastle University

Know Your Research Inside Out

Make sure you can discuss your research in detail, especially how it aligns with the university's current projects like Data Science 2030 and AI2030. Be prepared to explain the impact of your work and how it complements the existing activities at the School of Mathematics, Statistics & Physics.

Showcase Your Teaching Philosophy

Be ready to articulate your teaching approach and how you engage students in Mathematical and Statistical Data Science. Think about specific examples of innovative teaching methods you've used and how they could enhance the university's educational offerings.

Prepare for Leadership Questions

Since the role involves providing leadership on academic initiatives, anticipate questions about your experience in securing funding and developing new programmes. Have concrete examples ready that demonstrate your ability to lead and innovate in an academic setting.

Emphasise Inclusivity and Diversity

Given the university's commitment to diversity in STEM, be prepared to discuss how you can contribute to creating an inclusive environment. Share any past experiences or strategies you've implemented to support underrepresented groups in your field.