University of Cambridge
Senior Teaching Associate (Fixed Term)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Teaching Associate in Computational Continuum Modelling and High Performance Computing
The Department of Physics invites applications for a Senior Teaching Associate in the field of Computational Continuum Modelling and High Performance Computing to support the teaching and assessment of the MPhil in Scientific Computing https://mphil.csc.cam.ac.uk/
About the MPhil
The MPhil is a full-time course which provides education on high performance computing and advanced algorithms for numerical simulation at continuum and atomic-scale levels. The MPhil has a taught and a research element which carry equal examination credit. Students attend lecture modules on theory, algorithms and methods for modelling and numerical simulation, as well as research computing, software development and high-performance computing. This theoretical knowledge, which is complemented by hands-on practical sessions and written assignments (both involving coding), provides a solid foundation for the research project carried out during the second part of the academic year.
Responsibilities
The successful candidate will provide support and contribute to the continuum and high performance computing streams and their respective teaching schedule, and are therefore expected to have extensive experience in those areas. In particular, they should be able to demonstrate a comprehensive understanding of, and show practical experience with, the mathematics of systems of nonlinear inhomogeneous partial differential equations, and shock-capturing, Riemann problem based numerical algorithms for their solution. They must also be proficient in C++ and the techniques required for software development best practice. Familiarity with methods for high-performance computing such as parallelisation is essential. For more information on the course modules, please see: https://mphil.csc.cam.ac.uk/course_structure/
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
They should be an excellent communicator and it is also desirable, but not essential, to have a track record of delivering lectures or computational practical classes. They must be highly organised and motivated and should demonstrate aptitude for programme coordination. It is expected that they will hold, or be imminently completing, a PhD in mathematics or physics (or a cognate discipline). Due to the fast-moving nature of the topics covered in the MPhil, the role holder would be expected to participate in the research activities of the research group associated with the programme (The Laboratory for Scientific Computing), to maintain their knowledge of the current status of research, and techniques used within them.
The successful candidate will be expected to support the MPhil primarily by:
- Contributing to the creation and delivery of course modules
- The supervision, assessment and examination of modules
- The provision, supervision and assessment of written assignments and research projects across a range of continuum and HPC topics
- Interviewing applicants
They will also be expected to participate in the administration of tasks associated with the academic delivery of these programmes like overseeing the seminar series and industry led modules, and the coordination and delivery of non-examined short courses on advanced topics or transferable skills.
Equality and Diversity
The Departments are active in promoting policies to address historic under-representation of women and minority groups in its workforce. Candidates from under-represented groups, as well as candidates with a track record in addressing barriers to equality and diversity in education, are particularly encouraged to apply.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Terms and Conditions
- Fixed-term: The funds for this post are available until 30 September 2027 in the first instance.
- The position is available immediately with a start date no later than end of October 2026.
Application Instructions
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Applicants Should Submit The Following Documents With Their Application
- Cover letter summarising their suitability for this post
- Curriculum Vitae (CV)
- An experience statement of up to two pages setting out their past work in scientific computing related to computational continuum modelling and high performance computing and how it relates to the skills required for this position.
- Optional: Evidence of teaching contribution at undergraduate or postgraduate levels (e.g. lecture notes, computing practical sheets etc).
Please include details of three referees, including e-mail address and phone number, whom the University of Cambridge can contact for references.
Shortlisted applicants will be invited to visit Cambridge early September 2026 to give a teaching presentation, for informal discussions and formal interview.
Please quote reference KA50205 on your application and in any correspondence about this vacancy.
For informal enquiries please contact Prof. N. Nikiforakis (Email: nn10005@cam.ac.uk).
Any queries regarding the application process should be directed to the HR Department hr@phy.cam.ac.uk
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills