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- Tasks: Conduct groundbreaking research and teach in mathematical optimisation at a leading university.
- Company: Join the prestigious London School of Economics and be part of a vibrant academic community.
- Benefits: Enjoy competitive salary, generous family benefits, and excellent training opportunities.
- Why this job: Make a real impact in the field of mathematical optimisation while advancing your academic career.
- Qualifications: PhD in mathematical optimisation or related field, with expertise in continuous optimisation or machine learning.
- Other info: Be part of a diverse and inclusive environment that values equity and representation.
The predicted salary is between 36000 - 60000 £ per year.
The Department of Mathematics at The London School of Economics and Political Science (LSE) seeks to appoint an Assistant Professor to join the Optimisation and Algorithms group. The post holder will contribute to the intellectual life of the School through conducting and publishing outstanding quality research, engaging in high quality teaching, and participating in School and Department activities.
Applicants should have a completed PhD, or be close to obtaining a PhD in a discipline related to mathematical optimisation by the intended start date of 1 September 2026. Expertise and research interests related to mathematical optimisation are essential. In addition to applicants furthering the Department's current areas of specialisation, we welcome those with complementary expertise, notably in continuous optimisation and/or machine learning.
In addition to a competitive salary, the benefits that come with this job include generous family friendly benefits, an occupational pension scheme, research grants policy with personal reward options, generous research leave (sabbatical) entitlement, a collegial faculty environment, and excellent support, training and development opportunities.
To apply for this post, please go to https://jobs.lse.ac.uk/. If you have any technical queries with applying on the online system, please use the "contact us" links at the bottom of the LSE Jobs page. Should you have any queries about the role, please do not hesitate to email the Head of Department, Prof Bernhard von Stengel, at b.von-stengel@lse.ac.uk.
The closing date for receipt of applications is 3 December 2025 (23.59 UK time). We are unable to accept any late applications.
LSE is committed to building a diverse, equitable and truly inclusive university. As an equal opportunities employer strongly committed to diversity and inclusion, we encourage applications from women and those of Minority Ethnic backgrounds as they are currently under‐represented at this level in this area. All appointments will be made on merit or skill and experience relative to the role.
Assistant Professor at LSE (Mathematical Optimisation) in London employer: Institute of Mathematics and its Applications
Contact Detail:
Institute of Mathematics and its Applications Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Professor at LSE (Mathematical Optimisation) in London
✨Tip Number 1
Network like a pro! Reach out to current faculty members or alumni from LSE. A friendly chat can give us insights into the department and might even lead to a recommendation.
✨Tip Number 2
Show off your research! Prepare a concise presentation of your work in mathematical optimisation. This will help us articulate your passion and expertise during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues. This will help us refine our answers and boost our confidence before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of any updates or queries directly through the system.
We think you need these skills to ace Assistant Professor at LSE (Mathematical Optimisation) in London
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your research in mathematical optimisation. We want to see what you've done and how it aligns with our department's focus. Don't be shy—this is your chance to shine!
Tailor Your Application: Take a moment to customise your application for the role. We love seeing how your expertise complements our current areas of specialisation. A little effort here goes a long way in making your application stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Remember, less is often more—so avoid unnecessary jargon!
Apply Through Our Website: Don't forget to submit your application through our official website! It's the best way to ensure your application gets to us without any hiccups. Plus, if you have questions, our 'contact us' links are super helpful!
How to prepare for a job interview at Institute of Mathematics and its Applications
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially how it relates to mathematical optimisation. Be prepared to explain your methodologies and findings clearly, as well as how they contribute to the field and align with the department's current areas of specialisation.
✨Engage with Teaching Philosophy
Think about your teaching philosophy and be ready to share it during the interview. Consider how you would approach teaching complex topics in mathematical optimisation and how you can engage students effectively. Highlight any innovative teaching methods you've used or plan to use.
✨Familiarise Yourself with LSE's Values
Research LSE’s commitment to diversity and inclusion. Be prepared to discuss how you can contribute to a collegial environment and support underrepresented groups in academia. This shows that you align with their values and are invested in the broader academic community.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. Ask about the department's future directions, opportunities for collaboration, or how they support research initiatives. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you.
