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For Companies At a Glance
- Tasks: Lead innovative research in X-ray imaging for solid-state battery analysis.
- Company: Join a cutting-edge research team at the Faraday Institution.
- Benefits: Enjoy 26 days leave, flexible hours, and a great pension scheme.
- Why this job: Make a real impact on battery technology and sustainability.
- Qualifications: PhD in Physics, Engineering, or Materials Science with X-ray imaging experience.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 35000 - 45000 ÂŁ per year.
This position is until 31 March 2027 with the possibility of a 1-year extension.
About the Role
We now have an opportunity for a postdoctoral researcher to develop and deploy coupled X‑ray computed laminography and X‑ray diffraction methods for non‑destructive 3D analysis of solid‑state battery pouch cells. The role is embedded within the Faraday Institution SOLBAT project and is focused on revealing degradation pathways in realistic cell architectures.
What you will do:
- Lead the development and deployment of coupled computed laminography and diffraction methods on DIAD for pouch‑cell geometries, including acquisition strategy development, geometry calibration and artefact mitigation.
- Develop and maintain reconstruction and data‑processing pipelines using Python programming tools.
- Implement quantitative 3D analysis workflows such as registration, segmentation and feature extraction to support microstructure–performance studies.
- Work with SOLBAT partners at the University of Oxford to correlate microstructural evolution with electrochemical state‑of‑health, cycling conditions and failure mechanisms.
- Contribute to in‑situ or operando experimental development where feasible.
- Deliver research outputs through presentations, reports and peer‑reviewed publications.
- Contribute a clearly limited minority of time to DIAD beamline support, including relevant local‑contact duties and method or instrumentation development.
About You
You will hold an appropriate first degree in Physics, Engineering, Materials Science or a closely related discipline, as well as an appropriate multidisciplinary PhD.
Qualifications
Must‑have background:
- Strong experience in X‑ray imaging, tomography or closely related 3D X‑ray methods.
- Experience with reconstruction, scientific coding and image/data-processing workflows.
- Ability to deliver an independent research project and communicate results clearly.
- A collaborative approach suited to multidisciplinary and consortium‑based work.
Helpful additional experience:
- Computed laminography or other limited‑angle imaging geometries.
- Battery materials, electrochemistry or in‑situ / operando experiments.
- Synchrotron or beamline environments.
- Diffraction or crystallography methods, especially where integrated with imaging.
Benefits
26 days annual leave plus Christmas closure, public holidays, 2 annual volunteering days, and flexible working hours. Excellent defined benefit pension scheme. Relocation allowance may also be available. Campus‑based location with open green space, sports pitches, outdoor gym, cycle/running/walking routes, access to onsite amenities including cafes, restaurants, daycare nursery and free on‑site parking.
Postdoctoral Research Associate (PDRA) in X-ray Computed Laminography and Diffraction for Solid[...] employer: Diamond Light Source
Contact Detail:
Diamond Light Source Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate (PDRA) in X-ray Computed Laminography and Diffraction for Solid[...]
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of X-ray imaging and battery research. Attend conferences or webinars related to your expertise, and don’t be shy about introducing yourself to potential collaborators or employers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work in X-ray imaging and data processing. Include any relevant projects, publications, or presentations that highlight your expertise and contributions to the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python programming and how you’ve tackled challenges in your research. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Postdoctoral Research Associate (PDRA) in X-ray Computed Laminography and Diffraction for Solid[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience in X-ray imaging and any relevant projects you've worked on. We want to see how your background fits with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can contribute to the SOLBAT project. Keep it engaging and personal.
Showcase Your Research Experience: In your application, be sure to detail your research experience, especially in areas like computed laminography or battery materials. We love seeing how you’ve tackled complex problems in the past!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Diamond Light Source
✨Know Your Stuff
Make sure you brush up on your knowledge of X-ray imaging and tomography. Be ready to discuss your experience with these methods, especially in relation to solid-state batteries. Familiarise yourself with the latest research and developments in the field so you can impress them with your insights.
✨Showcase Your Coding Skills
Since you'll be working with Python for data processing, it’s crucial to demonstrate your coding abilities. Prepare to talk about specific projects where you've developed reconstruction pipelines or data-processing workflows. If possible, bring examples of your work to share during the interview.
✨Collaboration is Key
This role involves working with various partners, so highlight your collaborative experiences. Think of examples where you’ve successfully worked in multidisciplinary teams, particularly in research settings. Show that you can communicate effectively and contribute positively to group efforts.
✨Prepare for Technical Questions
Expect some technical questions related to the specifics of the role, such as artefact mitigation or quantitative 3D analysis workflows. Practice explaining complex concepts in a clear and concise manner. This will not only show your expertise but also your ability to communicate effectively with non-specialists.