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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 your unique contributions.
The predicted salary is between 36000 - 60000 ÂŁ 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. The other criteria that will be used when shortlisting for this post can be found on the person specification, which is attached to this vacancy on LSE’s online recruitment system.
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, 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.
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Assistant Professor at LSE (Mathematical Optimisation) 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)
✨Tip Number 1
Network like a pro! Reach out to current faculty members or alumni from LSE. A friendly chat can give you insights into the department and might even lead to a recommendation.
✨Tip Number 2
Show off your research! Prepare a presentation or a portfolio that highlights your work in mathematical optimisation. This will help you stand out during interviews and discussions.
✨Tip Number 3
Engage with the community! Attend seminars, workshops, or conferences related to optimisation and algorithms. It’s a great way to meet people and show your passion for the field.
✨Tip Number 4
Apply through our website! Make sure to follow the application guidelines closely and submit all required documents before the deadline. We want to see your best self!
We think you need these skills to ace Assistant Professor at LSE (Mathematical Optimisation)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your expertise in mathematical optimisation. We want to see how your research interests align with our department's focus, so don’t hold back on showcasing your unique skills!
Showcase Your Teaching Experience: Since teaching is a big part of this role, let us know about your teaching philosophy and any relevant experience. We’re keen to see how you engage students and contribute to their learning journey.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We appreciate well-organised applications that are easy to read.
Apply Through Our Website: Don’t forget to submit your application through the LSE jobs portal! It’s the best way for us to receive your materials and ensures you’re considered for the position. Plus, if you have any tech issues, we’ve got support available!
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 style and philosophy. Be ready to share examples of how you've engaged students in the past, particularly in complex topics like optimisation and algorithms. Highlight any innovative teaching methods you've used or plan to use.
✨Familiarise Yourself with the Department
Do your homework on the Department of Mathematics at LSE. Understand their current research projects and faculty members' expertise. This will help you tailor your responses and show that you're genuinely interested in contributing to their academic community.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. Ask about their expectations for the role, opportunities for collaboration, and how they support research initiatives. This shows your enthusiasm and helps you gauge if the environment is the right fit for you.