At a Glance
- Tasks: Teach and research in Statistical Learning, contributing to AI and Data Science.
- Company: Join a world-leading university with a commitment to diversity and inclusion.
- Benefits: Generous maternity policy, onsite childcare, and a focus on work-life balance.
- Other info: Supportive environment encouraging applications from under-represented groups.
- Why this job: Make an impact in a dynamic field while engaging in multidisciplinary projects.
- Qualifications: PhD in a relevant discipline and strong research publication record.
The predicted salary is between 45000 - 55000 £ per year.
We are seeking an outstanding candidate for a lectureship in Statistical Learning, interpreted broadly, as part of an expansion in Artificial Intelligence and Data Science research and education in the School of Mathematical Sciences. This position arises thanks to significant new investment by the University to support ambitions to further develop strengths in this important area.
You will have a track record of excellent research in Statistics or an aligned discipline with an emphasis on statistical learning, ideally with interests that span across to other areas of Mathematical Sciences (principally mathematical modelling or operational research) and enhance or complement our existing strengths in statistical modelling and computation, uncertainty quantification, design of experiments, biostatistics, or financial and actuarial mathematics.
Strong applicants should demonstrate:
- A PhD or equivalent professional qualifications and experience in a relevant discipline
- Ability to obtain peer‑reviewed funding
- Evidence of distinction in research through high‑quality publications
- Ability for undergraduate and postgraduate teaching
The School of Mathematical Sciences offers a diverse & welcoming workplace at a world‑leading University with a strong opportunity for engaging in multidisciplinary projects. We were very proud to have been awarded the Athena Swan Silver award, and we are committed to the Equality, Diversity, & Inclusion principles in all aspects of our work. We strongly encourage applications from women and other groups under‑represented in Mathematics and Statistics. We encourage applications from those who have taken career breaks for reasons including maternity, paternity or adoption leave, disability, or illness. We have a generous maternity policy and onsite childcare facilities & offer a range of benefits designed to help maintain and support employees' well‑being and work‑life balance. The University of Southampton is committed to sustainability and being a globally responsible university and has been awarded the Platinum EcoAward.
Lecturer in Statistical Learning in Southampton employer: University of Southampton
The University of Southampton is an exceptional employer, offering a vibrant and inclusive work environment within the School of Mathematical Sciences. With a strong commitment to equality, diversity, and inclusion, as evidenced by our Athena Swan Silver award, we provide ample opportunities for professional growth and collaboration on multidisciplinary projects. Our generous benefits, including a supportive maternity policy and onsite childcare facilities, ensure that our employees can maintain a healthy work-life balance while contributing to impactful research in Statistical Learning and beyond.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in Statistical Learning in Southampton
✨Tip Number 1
Network like a pro! Reach out to colleagues, attend conferences, and engage in online forums related to Statistical Learning. The more connections we make, the better our chances of landing that dream job.
✨Tip Number 2
Show off your research! Prepare a portfolio showcasing your best publications and projects. This will help us demonstrate our expertise and passion for the field during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine our teaching philosophy and research interests. This will boost our confidence and help us articulate our vision clearly.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our diverse and inclusive community.
We think you need these skills to ace Lecturer in Statistical Learning in Southampton
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in statistical learning and related fields. We want to see how your unique skills align with our goals at StudySmarter!
Showcase Your Research:Don’t hold back on sharing your research achievements! Include details about your publications and any peer-reviewed funding you've secured. This is your chance to shine and show us what you can bring to the table.
Highlight Teaching Experience:Since teaching is a big part of this role, be sure to mention any relevant teaching experience you have. We love seeing how you engage students and make complex topics accessible!
Apply Through Our Website:We encourage you to submit your application through our website for a smooth process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at University of Southampton
✨Know Your Research Inside Out
Make sure you can discuss your research in Statistical Learning and how it aligns with the university's goals. Be prepared to explain your past projects, publications, and how they contribute to the field. This shows your passion and expertise.
✨Prepare for Teaching Demonstrations
Since teaching is a key part of this role, think about how you would present complex statistical concepts to undergraduates and postgraduates. Practise explaining your ideas clearly and engagingly, as this will likely come up during the interview.
✨Showcase Your Collaborative Spirit
The university values multidisciplinary projects, so be ready to discuss any collaborative work you've done. Highlight how your skills in statistical modelling can complement other areas like mathematical modelling or operational research.
✨Emphasise Your Commitment to Diversity
Given the university's commitment to Equality, Diversity, & Inclusion, be prepared to talk about how you can contribute to these principles. Share any experiences you have that demonstrate your support for under-represented groups in Mathematics and Statistics.
