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- Tasks: Join our Imaging Team to enhance data processing and develop new computational methods.
- Company: Diamond Light Source is a leading scientific facility with cutting-edge technology for innovative research.
- Benefits: Enjoy 26 days annual leave, flexible hours, and access to on-site amenities like cafes and sports facilities.
- Why this job: Be part of groundbreaking research in a collaborative environment focused on scientific excellence.
- Qualifications: A relevant degree and experience in programming languages like Java, C++, and Python are essential.
- Other info: Relocation allowance may be available; applications close on 17th August 2025.
The predicted salary is between 46000 - 78000 £ per year.
About the Role
We now have an opportunity for a Data Analysis Scientist to join our Imaging Team at Diamond Light Source in Didcot. The role involves working closely with beamline scientists to enhance data processing, interpretation capabilities, and develop new methods. You will collaborate with software scientists and engineers to improve experimental and computational workflows, focusing on data processing, interpretation, and real-time feedback. The position offers a chance to develop expertise in a multidisciplinary environment dedicated to scientific excellence.
Electron and X-ray diffractive imaging techniques, such as ptychography, are used to explore complex materials with high spatial resolution. We aim to improve these techniques by advancing experimental and computational workflows, developing new methods to meet scientific needs, and creating solutions for live data processing and visualization to enhance user experience.
About You
You will hold a relevant First Degree or equivalent, along with a postgraduate degree or significant relevant experience. Practical experience in:
- Modern programming languages such as Java, C++, and Python
- Professional, scientific, or technical fields
with a background in using advanced mathematics and software engineering techniques for application development. Desirable but not essential experience includes GPU or HPC code development, data management, describing data, exploiting databases for scientific work, knowledge of ptychography or related diffraction imaging techniques, basic experience with modern web technologies (React/TypeScript), and cloud infrastructure (Kubernetes).
Diamond offers an excellent benefits package, including 26 days of annual leave plus Christmas closure, public holidays, volunteering days, flexible working hours, a defined benefit pension scheme, and onsite amenities such as a nursery, cafes, sports, and leisure facilities. A relocation allowance may be available where applicable.
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Data Analysis Scientist (Ptychography) employer: Diamond Light Source
Contact Detail:
Diamond Light Source Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analysis Scientist (Ptychography)
✨Tip Number 1
Familiarise yourself with ptychography and related diffraction imaging techniques. Understanding these concepts will not only help you in interviews but also demonstrate your genuine interest in the role and the work being done at Diamond Light Source.
✨Tip Number 2
Network with current or former employees of Diamond Light Source, especially those in the Imaging Team or Data Analysis Group. They can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 3
Brush up on your programming skills, particularly in Java, C++, and Python. Being able to discuss specific projects or experiences where you've applied these languages will set you apart from other candidates.
✨Tip Number 4
Stay updated on the latest advancements in data processing and visualisation techniques. Showing that you're proactive about learning and adapting to new technologies will impress the hiring team and align with their focus on innovation.
We think you need these skills to ace Data Analysis Scientist (Ptychography)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, programming languages like Java, C++, and Python, as well as any knowledge of ptychography or diffraction imaging techniques. Customise it to reflect the skills mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your background aligns with the responsibilities of a Data Analysis Scientist. Mention specific projects or experiences that demonstrate your expertise in data processing and interpretation.
Showcase Your Technical Skills: Include a section in your application that specifically lists your technical skills, such as experience with GPU or HPC code development, data management, and modern web technologies. This will help the hiring team quickly see your qualifications.
Follow Application Instructions: Ensure you follow the application instructions carefully. Use the online application process as specified and make sure to submit all required documents before the closing date of 17th August 2025.
How to prepare for a job interview at Diamond Light Source
✨Showcase Your Technical Skills
Make sure to highlight your experience with modern programming languages like Java, C++, and Python. Be prepared to discuss specific projects where you've applied these skills, especially in relation to data processing and analysis.
✨Understand Ptychography
Familiarise yourself with ptychography and related diffraction imaging techniques. Being able to discuss how these methods can be applied in the context of the role will demonstrate your genuine interest and knowledge in the field.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in computational methods and data visualisation. Think of examples from your past experiences where you successfully tackled complex challenges.
✨Ask Insightful Questions
Prepare thoughtful questions about the Diamond Light Source's current projects, especially regarding the Diamond-II upgrade. This shows your enthusiasm for the role and helps you understand how you can contribute to their goals.
