The Mathematical Institute proposes to appoint an Associate Professor (or Professor) of Complex Systems from 1 August 2026 or as soon as possible thereafter. The successful candidate will be appointed to a Tutorial Fellowship at Lincoln College, under arrangements described in the attached job description.
The combined University and College salary scale has a minimum point of £57,986 per annum. In addition, the College pays substantial additional benefits including a housing allowance of £11,072 per annum, an additional discretionary variable allowance of £6,458 per annum, and a research allowance of £2,153 per annum. An allowance of £3,199 per annum would be payable upon award of Full Professor title.
The Associate Professor will join a thriving research community of pure mathematicians at Oxford, at the world-leading Mathematical Institute. They will play a leading role in helping to build further collaborations across the global research community, in addition to engaging with outreach activities to support the department in achieving its strategic aim to improve the diversity of its undergraduate and postgraduate student body, and in particular its gender diversity. They will be responsible for carrying out, disseminating the results of, obtaining funding for, and supervising research at a high international standard in the field of Complex Systems and for teaching a range of topics in mathematics via lectures, classes and tutorials.
A complete list of duties and responsibilities is set out in the attached job description.
The successful candidate will have a PhD in mathematics or Physics and a record of outstanding research in the mathematical theory of Complex Systems, including Random Matrix Theory and its Applications, and Statistical Mechanics, interpreted broadly and will complement, enhance and diversify existing strengths within the Mathematical Physics Research Group, as well as other related groups in the Mathematical Institute. They will be expected to teach effectively across a range of topics in mathematics.
Informal enquiries regarding the application process should be directed to the Recruitment Coordinator (email: recruitment@maths.ox.ac.uk), quoting vacancy reference 182701.
Applications for this vacancy are to be made online.
To apply for this vacancy and for further information, including a job description and selection criteria, please click on the link below:
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=182701
Only applications received before 12.00 noon UK time on 12 January 2026 can be considered.
UNIVERSITY OF OXFORD
MATHEMATICAL, PHYSICAL AND LIFE SCIENCES DIVISION
Mathematical Institute
in association with Lincoln College
Photo by Pixabay
Published
Senior Research Associate – MARS
The School of Mathematical Sciences at Lancaster University is seeking to appoint Senior Research Associates to lead their own research project as part of ‘MARS: Mathematics for AI in Real-world Systems’.
MARS, which is funded by a £13m investment from Research England, conducts research and teaching at the interface of dynamical mathematical modelling and artificial intelligence (AI), with a focus on using applied mathematics and AI methods to address real-world challenges.
What we’re looking for
You will hold a PhD in mathematics or a related discipline and be able to demonstrate previous research experience in using mathematical machine learning and AI methods, or applied mathematics, to solve challenging problems. Your research will have potential for real-world application in areas including, but not limited to, cyber security, engineering, environment and health.
You will be able to propose an innovative and deliverable three-year research project that contains substantial mathematical content and aligns with MARS research goals. You may also be asked to contribute up to 0.2 FTE to industry projects relevant to your expertise.
Why join MARS?
It is an exciting time to be part of MARS, which is based in one of the top-ranked maths departments in the UK. You’ll be part of a thriving and collegiate research group with a growing complement of academic staff, researchers and PhD students. MARS is at the forefront of innovating mathematics and AI research and is a nationally distinctive group to join if you want to be part of the next generation of mathematicians tackling real-world problems and shaping the future of mathematics and AI.
For more information about MARS research visit our webpages here.
These are full-time, three-year positions. Flexible working arrangements will be considered but you will be expected to be present on the Lancaster campus a minimum of two days a week.
Closing date: 4th January 2026
For further information and details of how to apply, please visit: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0937-25
Lancaster University promotes equality of opportunity and diversity within the workplace. For these positions, we welcome applications from all diversity groups but particularly from women who are currently underrepresented in the mathematical sciences.
Photo by Philipp Katzenberger on Unsplash
Published
Mathematical modelling PhD at the University of Nottingham: Using Haemostatic Data to Predict Clinical and Therapeutic Outcomes.
Project description:
This project offers the opportunity to combine mathematical and computational modelling and laboratory work to advance research in haemostasis, by exploring new ways to target anti- and pro-thrombotic therapies in a personalised way. The project would suit a candidate with a background in applied mathematics or a related discipline, with an interest in gaining experience in biological systems, including some guided, hands-on laboratory work, or with a biosciences/biomedical background interested in gaining expertise in modelling and advanced data analytical methods. You would join an existing collaborative network with a strong track record in postgraduate supervision, and the skills and resources to support the training needed. Throughout the studentship, you will acquire valuable technical skills, including data-driven computational modelling, model validation and laboratory techniques such as thrombin generation assays. You will also gain expertise in integrating computational models with experimental data and the machine learning and statistical skills required to analyse large multi-variate datasets. This is an exciting opportunity to acquire cross-disciplinary skills, alongside insights into a wide range of clinical conditions including diabetes and inherited bleeding disorders.
This project is part of the AIM Doctoral Training Programme which has a range of exciting and diverse PhD projects at our 3 partner University institutions of Birmingham, Leicester and Nottingham which are now open for application for a September 2026 start. Further details on how to apply and criteria for funding can be found here: https://more.bham.ac.uk/mrc-aim/phd-opportunities/
Deadline for application to AIM DTC is midday (GMT) on 09 January 2026.
Published
We are currently inviting applications for a Postdoctoral Research Associate to work with Professor Dawid Kielak at the Mathematical Institute, University of Oxford. This is a 3-year, fixed-term position, funded by a research grant from the ERC.
The successful candidate will be expected to be in post by 1st September 2026, or as soon as possible thereafter.
The successful candidate will be part of a research group with responsibility for carrying out research in Geometry Group Theory and related fields as part of the ERC grant “HigherHyper”. They will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively with other members of the group at Oxford or with other mathematicians internationally.
They will contribute to the activities of the wider Topology and Algebra research groups and write up the results of their work, either singly or with co-authors, for publication in refereed journals and proceedings. There will be opportunities to contribute a small amount of teaching to the department, of at most three hours a week during the academic terms.
We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award.
Please direct informal enquiries to the Recruitment Coordinator (email: recruitment@maths.ox.ac.uk), quoting vacancy reference 183237.
Please note: Applicants are responsible for contacting two referees to send their reference letters directly to references@maths.ox.ac.uk by the closing date. Full details are contained in the job description.
Applications for this vacancy are to be made online. To apply for this vacancy and for further information, including a job description and selection criteria, please click on the link below:
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=183237
Only applications received before 12.00 noon UK time on Wednesday, 7 January 2026 can be considered.
Contact Person: The Recruitment Coordinator
Email: recruitment@maths.ox.ac.uk
Job Title: Postdoctoral Research Associate in Geometry Group Theory (1 post)
Division: Mathematical, Physical and Life Sciences
Department: Mathematical Institute
Location: Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG
Grade and salary: Grade 7 £41,636 – £47,779 per annum
Contract type: Fixed-term (36 months)
Published
We invite applications for a Postdoctoral Research Associate (PDRA) to join the EPSRC Hub on the Mathematical and Computational Foundations of Artificial Intelligence.
One PDRA will be recruited to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning through Stochastic Control (a brief description of each these is as follows (additional details are in the further particulars):
Learning with Structured and Geometric Models
We will apply tools from manifold learning and Riemannian optimisation to leverage the underlying manifold structure for better training and novel network designs.
Low Effective-dimensional Learning Models
We will extend foundational theory of how large ML systems can be regularised to have dramatically fewer trainable parameters without sacrificing accuracy by analysing the use of low-dimensional building blocks.
Implicit Regularization
We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency.
Reinforcement Learning through Stochastic Control
We will develop methods from stochastic control, which will provide a mathematically grounded approach that has a well-posed continuous-time limit (as opposed to traditional RL methods that are inherently discrete and do not scale favourably for high frequency observations without judicious hyper-parameter tuning).
This is two-year, fixed-term position, funded by a research grant from the EPSRC. The start date for this post is flexible.
The successful candidate will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so collaboratively with other members of the hub, both at Oxford and/or with hub partners which include universities as well as companies and governmental organisations.
They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors, for publication in refereed journals and proceedings. There will be opportunities to contribute a small amount of teaching to the department, of at most three hours a week during the academic terms.
We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award.
Please direct informal enquiries to the Recruitment Coordinator (email: recruitment@maths.ox.ac.uk), quoting vacancy reference 183617.
Please note: Applicants are responsible for asking two referees to send their reference letters directly to references@maths.ox.ac.uk by the closing date. Full details are contained in the job description.
Applications for this vacancy are to be made online. To apply for this vacancy and for further information, including a job description and selection criteria, please click on the link below:
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=183617
Applications received before 12.00 noon UK time on Friday, 09 January 2026 will receive full consideration. Applications after this date will be considered at the discretion of the
committee.
Contact Person: The Recruitment Coordinator
Email: recruitment@maths.ox.ac.uk
Published
We are seeking talented postdoctoral researchers to take up exciting Fellowship opportunities at the Mathematical Institute.
The prestigious OMI-Hooke Research Fellowships provide an ideal opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected to associated Research Fellowships at Reuben College, Oxford’s newest postgraduate college.
The Fellowship is full-time, and fixed-term for up to 36 months, associated with a Research Fellowship at Reuben College; applications for job shares or for part-time working to accommodate family circumstances will be considered.
The successful applicants will be a talented researchers, who have already produced excellent research during their PhD and in any postdoctoral positions. Securing a Fellowship will offer you the freedom to conduct your own research programme.
To aid the development of their academic profile and to support the department, Fellows will be required to contribute up to thirty hours of teaching per academic year. The exact nature of this teaching will be in accordance with departmental need as determined by the Head of Department in consultation with the Director of the Oxford-Man Institute (OMI) and the Mathematical & Computational Finance group.
Candidates will be expected to have a completed doctorate in mathematics or a related discipline by the start date of the position. (Candidates who have not yet been awarded their doctorate should provide the date they expect to submit their thesis in their supporting statement). They should also show evidence of independence and the ability to undertake research of the highest academic standard, hold an outstanding record of papers published in major international journals (commensurate with career stage), and have a realisable and relevant research plan which would enhance the research profile of the Oxford-Man Institute. Additional information about the posts, and a full list of selection criteria, are available in the job descriptions.
We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award.
Please direct informal enquiries to the Recruitment Coordinator (email: recruitment@maths.ox.ac.uk), quoting vacancy reference 183650, or Professor Álvaro Cartea, Director of the Oxford-Man Institute (alvaro.cartea@maths.ox.ac.uk).
Applications for this vacancy are to be made online. To apply for this post and for further details, including a job description and selection criteria, please click on the link below:
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=183650
Please note: Applicants are responsible for asking two referees to send their reference letters directly to references@maths.ox.ac.uk by the advertised closing date. Full details are contained in the job description.
Only applications received before 12.00 noon UK time on 19 January 2026 will be considered.
Contact Person: The Recruitment Coordinator
Email: recruitment@maths.ox.ac.uk
Job Title: OMI-Hooke Research Fellows
Division: Mathematical, Physical and Life Sciences
Department: Mathematical Institute
College: Reuben College
Location: Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG
Grade and salary: Grade 7 £43,984 – £47,779 per annum
Contract type: Fixed-term (36 months)
Published