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Lecturer in Probability Theory

King's College London - Natural, Mathematical & Engineering Science - Mathematics

Location: London
Salary: £53,947 to £63,350 per annum, including London Weighting Allowance
Hours: Full Time
Contract Type: Permanent
Placed On: 6th August 2025
Closes: 5th October 2025
Job Ref: 121765
 

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 recently established Probability Group. The group maintains strong intradisciplinary ties with other departmental groups, including Analysis, Disordered Systems, Statistics, and Mathematical Data Science. Its members are also well connected to leading international institutions.

The group’s research covers a broad spectrum of topics in both discrete and continuous probability. Recent areas of focus include random graphs and trees (combinatorial properties, scaling limits, coalescent and branching structures, random matrix theory), stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in high dimensions, random walks and percolation on strongly correlated structures, optimal control and transport, interacting particle systems, and mixing times of Markov chains.

Further information about the department and the research group can be found at:  https://www.kcl.ac.uk/mathematics  

About the role

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

Candidates are expected to have research expertise in theoretical or applied probability. They should demonstrate the potential to conduct 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 contribute to 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 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.

Further information about the department can be found at:  https://www.kcl.ac.uk/mathematics  

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

  • PhD in a relevant subject area
  • Strong research record in Probability Theory, as evidenced by publications in high quality journals and conferences
  • Potential to attract external research funds
  • Ability to teach undergraduate and postgraduate modules in mathematics
  • Ability to supervise postgraduate research students
  • Ability to make significant contributions to administrative work
  • Excellent presentation and communication skills

Desirable criteria

  • Experience in attracting external research funds
  • Experience of teaching and examining
  • Experience of administration

For full details and to apply, please click on the ‘Apply’ button above.

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