Senior Teaching Associate (Fixed Term)

University of Cambridge; Cambridge; On-site; GBP 50,000 - 65,000; Full time

Benefits offered by this job

ACP T&S scheme

Job summary

University of Cambridge invites applications for a Senior Teaching Associate in Computational Continuum Modelling and High Performance Computing to support the MPhil in Scientific Computing. The role includes creating and delivering course modules, supervising assessments and exams, and coordinating short courses within the continuum and HPC streams.

The successful candidate will have a PhD in mathematics or physics (or near completion), extensive experience in these areas, and a track record in

Qualifications

• PhD in mathematics or physics (or near completion).
• Extensive experience in continuum modelling and high-performance computing.
• Proficiency in C++ and software development best practices.
• Familiarity with high-performance computing methods such as parallelisation.
• Excellent communication and potential to deliver lectures.
• Highly organised with aptitude for programme coordination.

Responsibilities

• Contribute to creation and delivery of course modules and teaching schedule.
• Supervise, assess and exam modules and coursework.
• Oversee written assignments and research projects across continuum and HPC topics.
• Interview applicants during selection process.
• Coordinate and deliver non-examined short courses on advanced topics.
• Oversee seminar series and industry-led modules.

Skills

C++

HPC

PDEs maths

Parallelisation

Communication

Lecturing

Education

PhD in Mathematics or Physics

Tools

MPI

Git

CMake

Job description

The Department of Physics invites applications for a Senior Teaching Associate in the field of Computational Continuum Modelling and High Performance to support the teaching and assessment of the MPhil in Scientific Computing https://mphil.csc.cam.ac.uk/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.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/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 and 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.A new Academic Career pathway scheme for Teaching and Scholarship staff (ACP T&S) has been developed to recognise and reward outstanding contributions and celebrate academic achievement through promotion and/or pay progression. This post falls within this career pathway scheme. Further details of the scheme are available at https://www.acptands.hr.admin.cam.ac.uk/acp-overviewThe 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.Fixed-term: The funds for this post are available for 12 months in the first instance, with the possibility to extend subject to funding.Applicants should submit the following documents with their application:Cover letter summarising their suitability for this postCurriculum 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.The deadline for applications is 1st November 2026.Shortlisted applicants will be invited to visit Cambridge to give a teaching presentation, for informal discussions and formal interview.Informal enquiries are welcome and should be sent to Prof. N. Nikiforakis ([e-mail]).Please quote reference KA50205 on your application and in any correspondence about this vacancy.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.Apply online