At a Glance
- Tasks: Join a dynamic team to teach and research in data science and statistics.
- Company: LSE, a leading university committed to diversity and inclusion.
- Benefits: Competitive salary, generous research leave, and excellent training opportunities.
- Other info: Opportunities for collaboration across various research areas and institutes.
- Why this job: Make an impact in academia while collaborating with top researchers.
- Qualifications: PhD in statistics or related fields, with a focus on data science or machine learning.
The predicted salary is between 68087 - 68087 £ per year.
Employer
LSE is committed to building a diverse, equitable and truly inclusive university As an equal opportunities employer strongly committed to equity, diversity and inclusion, we encourage applications from women and people from ethnic minority backgrounds as they are currently under‑represent at this level in this area.
All appointments will be made on merit or skill and experience relative to the role.
Salary is no less than 68,087 per annum (pay award pending) and the salary scale can be found on the LSE website.
From £68,087 per annum (pay award pending) and the salary scale can be found on the LSE website.
Applications for this new post are invited from outstanding candidates in the field of data science and statistics.
- Closing Date
- The closing date for receipt of applications is Sunday 13 December
UK time). We are unable to accept any late applications.
Post Start Date
The post is tenable from 1 September 2027.
Responsibilities
- Successful candidates will join an established and successful department and contribute to its research and teaching in data science and statistics.
- You will have a track record or trajectory of internationally excellent publications, proven ability, as evidenced by existing publications, or potential to publish in top conferences or journals.
- You will also have a clear, well‑developed and viable strategy for future outstanding research that has the potential to result in world‑leading publications.
Qualifications
- You should have expertise and research interests in statistics, data science, or machine learning.
- You must have a completed Ph D, or close to obtaining a Ph D in statistics or related areas such as computer science or mathematics by the post start date.
- 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 the LSEs online recruitment system.
- We welcome applications from candidates who are keen to collaborate with colleagues with complementary research interests, both from within the Department and from other departments in the School.
- The Department has research expertise across different areas, including data science, probability in finance and insurance, social statistics, and time series and statistical learning.
- The School provides opportunities for research collaboration through the new Global Institute for Technology and Society, and other institutes.
Benefits
- An occupational pension scheme
- Research grants policy with personal reward options
- Generous research leave (sabbatical) entitlement
- A collegial faculty environment
- Excellent support, training and development opportunities
- #J-18808-Ljbffr
Assistant Professor in London employer: London School of Economics and Political Science
The London School of Economics and Political Science (LSE) is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation. With a strong commitment to employee development, LSE provides numerous growth opportunities through training and mentorship, all while being situated in the vibrant heart of London, which enhances both professional and personal experiences. Join us to be part of a community dedicated to making a meaningful impact in education and society.
Contact Details:
London School of Economics and Political Science Recruitment Team
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