Job Opportunities

Fixed-term: The funds for this post are available for 36 months in the first instance.

We are looking for a Post-Doctoral Research Associate (PDRA), with a PhD in Physics, Materials Science or Engineering and a strong background in experimental magnetism. The position, based within Prof Jason Robinson's research group at the Department of Materials Science & Metallurgy, is part of the project "Coupled Magnetic Hybrids for Advanced Quantum Technologies", a collaboration with the City University of Hong Kong (CUHK). The aim of the role is to explore how nanomagnetic elements in proximity structures with spin-orbit-coupled interfaces and superconductors can be used to generate and control unconventional superconducting states. In particular, the project aims to realise and manipulate electron pairing to enable spin-polarised charge and pure-spin supercurrents. The role will involve developing and characterising hybrid superconducting devices with ferromagnets and antiferromagnets, with a focus on materials engineering, device fabrication, and low-temperature electrical transport measurements to probe spin-dependent superconducting phenomena. The role holder is expected to visit our collaborators CUHK and work with colleagues in their Department of Physics. The successful candidate will bring hands-on experience in physical vapour deposition of thin films, nanodevice fabrication, and low-temperature electrical and magnetic measurements. With a strong track record of peer-reviewed publications, this individual will be able to demonstrate professional expertise and advanced problem-solving skills. Outstanding written and oral communication skills are essential, along with a proven ability to work effectively within multidisciplinary teams. The candidate must also show a capacity to plan and manage complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly desirable. Strong analytical capabilities and proficiency in the quantitative analysis of large datasets are also required.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Two supporting documents are required with the application: (1) a CV, and (2) a one-page cover letter/research statement.

Enquiries regarding the application process may be directed to Nichola Daily, email nd241@cam.ac.uk

Please quote reference LJ46545 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.

Further information

• FP-LJ46545
  Further particulars for LJ46545