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Job id: 120728. Salary: £53,149 to £62,422 per annum, including London Weighting Allowance.

Posted: 23 July 2025. Closing date: 30 September 2025.

Business unit: Natural, Mathematical & Engineering Sci. Department: Mathematics.

Contact details: Professor Fabrizio Leisen. fabrizio.leisen@kcl.ac.uk

Location: Strand Campus. Category: Academic & Teaching.

About Us

The Department of Mathematics at King’s College London is one of five departments within the Faculty of Natural, Mathematical & Engineering Sciences. King’s College London is one of the world’s leading universities, currently ranked 31st globally in the QS World University Rankings. Founded in 1829, it is now home to more than 35,000 students from over 150 countries.

The Department of Mathematics is based at the University’s Strand Campus in central London. Its research spans a wide range of areas, from pure to applied mathematics and theoretical physics.

Among the department’s nine research groups is the Statistics Group. The group has collaborations with other faculties and departments such as Pharmacy, Physical Sciences of Life and Biophysics. The group has strong industry links. The group is involved in Net Zero which is a world-leading centre in science and technology research at King’s. Net Zero aims to focus on research for decarbonising our economy and society, and addressing key environmental issues. The group is involved in the Centre for Urban Science and Progress (CUSP) London. CUSP is a collaboration between King’s College London and New York University. It is a multi-disciplinary research centre that brings together researchers, businesses and government agencies, to apply data science and visual analytics to challenges in and for London.

Our group has a wide-ranging expertise that spans from advanced theoretical and methodological Statistics (classical and Bayesian) to diverse applications, allowing for comprehensive research approaches. Our members work on Design of Experiments, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications, Time Series Modelling in Macroeconomics and Finance, Causal Inference, Conformal Prediction, Functional Data Analysis and Applications in linguistics, Forensics, quantitative genetics, healthcare, biosciences, industrial and pharmaceuticals research*.*

Further particulars of the post can be located below, and further information about the department and the research group can be found here

About the role

Applications are invited for a Lectureship in Statistics in the Department of Mathematics at King’s College London.

Candidates are expected to have a PhD in Statistics, or a closely related area, and research expertise in some area of statistics. They should demonstrate the potential to lead research of high originality, innovation and depth, with the capacity to make a significant long-term impact in their field. A proven ability or clear potential to attract research funding is also desirable.

The successful candidate will be expected to lead a self-directed research programme, which will enhance the Department’s research activity, and to take part in teaching and assessment across its undergraduate and postgraduate programmes. They will be expected to promote the reputation of the Statistics research group through participation in scientific meetings, scholarly engagement, and other externally facing activities.

They will also play an active role in the institutional and intellectual development of the Department and undertake administrative responsibilities at the Departmental, Faculty, and University levels, as required.

This is a full-time position (35 hours per week), and an indefinite contract will be offered.

The position is based at the Strand Campus of King’s College London, with an expected start date within six months of the job offer. 

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

  1. PhD in Statistics or a closely related area  
  2. Strong research record in Statistics, as evidenced by publications in high quality journals and conferences  
  3. Potential to attract external research funds
  4. Ability to teach undergraduate and postgraduate modules in mathematics and to supervise postgraduate research students
  5. Ability to make contributions to administrative work
  6. Excellent organisational, analytical and problem-solving skills 
  7. Ability to use own initiative and think critically 
  8. Collegiality and willingness to work as part of a team 

Desirable criteria

  1. Experience in attracting external research funds  
  2. Experience of teaching and examining 
  3. Experience of administration 

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. 

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

Interviews are due to be held in December 2025.