Material Scientist - Thin Film Characterisation in Reading
Material Scientist - Thin Film Characterisation

Material Scientist - Thin Film Characterisation in Reading

Reading Full-Time 45000 - 60000 £ / year (est.) No home office possible
Oxford Quantum Circuits (OQC)

At a Glance

  • Tasks: Lead characterisation studies and analyse complex datasets to enhance quantum device performance.
  • Company: Join OQC, a pioneering company in quantum technology with a collaborative spirit.
  • Benefits: Competitive salary, health benefits, and a vibrant work culture focused on innovation.
  • Why this job: Make a real impact in quantum computing by applying your materials science expertise.
  • Qualifications: PhD or MSc in Physics or Materials Science with hands-on experience in thin film techniques.
  • Other info: Work alongside world-class scientists and engineers in a dynamic environment.

The predicted salary is between 45000 - 60000 £ per year.

The Materials Scientist plays a critical role in advancing the materials and processes that underpin OQC's quantum devices. Partnering closely with senior engineers, you will design and lead in-depth characterisation studies, extract insight from complex datasets, and turn experimental results into clear, evidence-based recommendations that directly improve qubit coherence, fabrication precision and device performance.

Working focused on materials R&D, you will combine hands-on experimental expertise with strategic technical judgement, collaborating internally and engaging external characterisation facilities when advanced capabilities are required. You will be highly skilled in thin film characterisation with a strong focus on X-ray thin film characterisation techniques, these skills are key to this role.

  • Investigate: Apply advanced thin film characterisation techniques with a focus on extracting quantitative information on thickness, density, roughness, crystallinity, strain and nanostructure to analyse superconducting device films and interfaces.
  • Extract: Use fitting routines and specialised modelling software such as reflectivity fitting and scattering pattern analysis to extract quantitative data from thin film X-ray patterns.
  • Develop and refine: Custom scan protocols (e.g., grazing-incidence, rocking curves, pole figures) to suit complex multilayer stacks.
  • Improve: Interpret complex data sets from thin films and multilayer structures to recommend improvements of nanofabrication processes and enhance qubit coherence.
  • Document: Create and maintain clear process documentation, experimental plans and progress reports for senior stakeholders.
  • Collaborate: Partner with nanofabrication engineers and other material scientists to provide subject-matter expertise and data-backed guidance on device performance.

We value strong scientific fundamentals, intellectual curiosity, and a rigorous, evidence-driven approach to problem solving.

  • Strong hands-on experience with advanced thin-film X-ray characterization techniques such as XRR, and different modes of XRD.
  • Expertise in HRXRD and reciprocal space mapping (RSM) for strain and texture analysis.
  • Experience with grazing-incidence methods (GIXRD, GISAXS or GIWAXS).
  • Proficiency in modelling and fitting X-ray data (e.g. Bruker LEPTOS, GenX, GSAS-II, TOPAS, or similar tools).
  • Solid understanding of X-ray and e-beam scattering and diffraction theory.
  • Experience in diffraction data analysis, including phase identification using crystallographic databases (ICSD, PDF-4 or COD), and interpretation of thin-film diffraction data (texture, strain, epitaxy).
  • Experience operating laboratory X-ray diffractometers (e.g. Bruker, Rigaku).
  • Programming skills like Python for data analysis and automation.
  • Clear written and verbal communication skills, with the ability to produce high-quality technical documentation.
  • PhD (or MSc with significant experience) in Physics, Materials Science, or a related discipline.

The Nice to haves:

  • Experience with complementary techniques like SEM, AFM, TEM, EDX or alike.
  • Knowledge of thin film growth models and method.
  • Experience with synchrotron-based X-ray techniques.
  • Familiarity with Rietveld refinement for polycrystalline materials.
  • Experience applying machine learning techniques to materials data.

The ideal candidate will combine strong experimental skills with a deep understanding of diffraction and scattering physics, and the ability to extract meaningful physical parameters from thin-film systems.

At OQC, you'll work shoulder-to-shoulder with world-class scientists, engineers and technologists who are redefining what's computationally possible. This is a rare opportunity to apply your materials science expertise to genuinely cutting-edge quantum hardware — translating fundamental insight into measurable improvements in device performance and scalability.

If you're motivated by deep scientific challenges, collaborative excellence, and the opportunity to directly impact the future of quantum computing, OQC offers a place where your work will truly matter.

Material Scientist - Thin Film Characterisation in Reading employer: Oxford Quantum Circuits (OQC)

OQC is an exceptional employer that fosters a collaborative and innovative work culture, where you will engage with leading scientists and engineers in the field of quantum computing. With a strong emphasis on employee growth, OQC provides opportunities to tackle complex scientific challenges while contributing to groundbreaking advancements in materials science. Located in a vibrant tech hub, the company offers competitive benefits and a supportive environment that values intellectual curiosity and evidence-driven problem solving.
Oxford Quantum Circuits (OQC)

Contact Detail:

Oxford Quantum Circuits (OQC) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Material Scientist - Thin Film Characterisation in Reading

✨Tip Number 1

Network like a pro! Reach out to professionals in the materials science field, especially those working with thin film characterisation. Attend industry events or webinars, and don’t be shy about asking for informational interviews – it’s a great way to get your foot in the door.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your hands-on experience with advanced thin-film X-ray characterisation techniques. Include any projects where you’ve used modelling software or developed custom scan protocols – this will make you stand out during interviews.

✨Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of diffraction and scattering physics. Be ready to discuss how you’ve applied these concepts in past projects, and think about how you can translate complex data into actionable insights for device performance.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search – it shows you’re genuinely interested in joining our team at OQC.

We think you need these skills to ace Material Scientist - Thin Film Characterisation in Reading

Thin Film Characterisation
X-ray Thin Film Techniques
X-ray Reflectivity (XRR)
X-ray Diffraction (XRD)
High-Resolution X-ray Diffraction (HRXRD)
Reciprocal Space Mapping (RSM)
Grazing-Incidence X-ray Diffraction (GIXRD)
Modelling and Fitting X-ray Data
Data Analysis using Python
Diffraction Data Analysis
Technical Documentation
Collaboration with Engineers
Experimental Design
Problem Solving
Machine Learning Techniques

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your hands-on experience with thin film characterisation techniques. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about materials science and how your expertise can contribute to our quantum devices. Keep it engaging and personal – we love to see your personality!

Showcase Your Technical Skills: Be specific about your experience with X-ray techniques and any modelling software you’ve used. We’re looking for candidates who can hit the ground running, so highlight those skills that make you a perfect fit for the role.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at Oxford Quantum Circuits (OQC)

✨Know Your Thin Film Techniques

Make sure you brush up on your knowledge of advanced thin film characterisation techniques, especially X-ray methods like XRR and HRXRD. Be ready to discuss how you've applied these techniques in past projects and the insights you've gained from them.

✨Data Analysis is Key

Prepare to talk about your experience with modelling and fitting X-ray data using software like Bruker LEPTOS or GSAS-II. Have specific examples ready where you extracted quantitative data and how it influenced your recommendations for improving device performance.

✨Collaboration is Crucial

Since this role involves partnering with engineers and other scientists, think of examples where you've successfully collaborated on projects. Highlight how you communicated complex data and findings to non-specialists, as clear communication is essential.

✨Show Your Curiosity

Demonstrate your intellectual curiosity by discussing any recent advancements in materials science or quantum computing that excite you. This shows you're not just knowledgeable but also passionate about the field and eager to contribute to innovative solutions.

Material Scientist - Thin Film Characterisation in Reading
Oxford Quantum Circuits (OQC)
Location: Reading

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>