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For Companies At a Glance
- Tasks: Develop autonomous discovery workflows in a cutting-edge research environment.
- Company: Join the University of Manchester's innovative Condensed Matter Physics Group.
- Benefits: Enjoy a fantastic pension scheme, health services, and generous leave entitlements.
- Why this job: Make a real impact in materials science using AI and interdisciplinary collaboration.
- Qualifications: PhD in relevant fields with strong programming and research writing skills.
- Other info: Flexible working arrangements and commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Applications are invited for a postdoctoral research position to work on Autonomous Lab for Materials Discovery within the Condensed Matter Physics Group in the Department of Physics & Astronomy at the University of Manchester. The successful candidate will work at the interface of physics, chemistry, materials science, and AI, developing workflows for autonomous discovery.
You may focus on experimental platforms (growth, characterisation, electrochemistry), computational modelling, or AI/automation, depending on your background. You will have obtained, or be about to obtain, a PhD (or equivalent) by the starting date of the project in Physics, Materials Science, Chemistry, Engineering, or related fields. Proven proficiency in programming and in writing quality research papers is essential. The project aims to appoint an individual with strong expertise across multiple areas (see the desired knowledge, skills, experience and qualifications section in the Job Description).
Candidate should be well-organised and self-motivated with excellent communication skills. The projects are expected to lead to high‑impact scientific publications and datasets, technological developments, and a strong boost in the PDRA’s career.
Responsibilities
Through the project, contribute to the development of autonomous discovery workflows that integrate experimental platforms, computational modelling, and AI/automation. Collaborate with multidisciplinary teams and communicate results through high-quality publications and presentations.
Qualifications
You should have or be nearing completion of a PhD (or equivalent) in Physics, Materials Science, Chemistry, Engineering, or related fields. Essential requirements include:
- Proven programming skills
- Ability to write quality research papers
- Strong interdisciplinary expertise across physics, chemistry, materials science, and AI/automation (as applicable to your background)
Application process
Along with your application, please submit a single file containing your CV (highlighting research-related expertise and skills), a list of publications, and a research statement (max 3 pages).
Equality, Diversity, Inclusion and Access
The Department of Physics and Astronomy is committed to promoting Equality, Diversity, Inclusion and Access through the University’s social responsibility agenda, including the Athena SWAN charter for promoting women’s careers in STEMM. The Department has held JUNO Champion status since 2016 for its commitment to gender equality and inclusivity.
We support applications from those returning from a career break and are happy to discuss flexible working arrangements. For further information, please visit the equality and diversity page at the University of Manchester.
Benefits
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at major retailers
Other information
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. The University supports flexible working arrangements.
Hybrid working arrangements may be considered.
Please be aware that, due to the number of applications, we are not able to provide individual feedback on your application. We are unable to respond to enquiries, accept CVs or applications from recruitment agencies. Any CVs submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Qian Yang
Email: qian.yang@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
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Research Associate (Autonomous Lab for Materials Discovery) employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate (Autonomous Lab for Materials Discovery)
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of physics, materials science, or AI. Attend relevant conferences or seminars and don’t be shy about introducing yourself to potential collaborators or employers.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your programming projects, research papers, and any interdisciplinary work you've done. This will give you an edge when discussing your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by rehearsing answers to common questions in your field. Focus on how your background in physics, chemistry, or materials science can contribute to autonomous discovery workflows.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s the best way to ensure your CV and research statement get the attention they deserve.
We think you need these skills to ace Research Associate (Autonomous Lab for Materials Discovery)
Some tips for your application 🫡
Craft a Stellar CV: Your CV is your first impression, so make it count! Highlight your research-related expertise and skills clearly, and don’t forget to include any relevant programming experience. We want to see what makes you stand out!
Nail Your Research Statement: Keep your research statement concise and focused—max 3 pages! This is your chance to showcase your interdisciplinary expertise and how it aligns with our Autonomous Lab for Materials Discovery. Let us know how you can contribute!
Show Off Your Publications: Include a list of your publications in the application file. This demonstrates your ability to write quality research papers, which is essential for this role. We love seeing your work in action!
Apply Through Our Website: Make sure to submit your application through our website. It’s the easiest way for us to keep track of everything and ensures your application gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at The University of Manchester
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and how it relates to the Autonomous Lab for Materials Discovery. Be ready to discuss your PhD work, publications, and any relevant projects in detail. This shows your passion and expertise in the field.
✨Showcase Your Interdisciplinary Skills
Since the role requires a blend of physics, chemistry, materials science, and AI, prepare examples that highlight your experience across these areas. Think about specific projects where you’ve collaborated with others or used skills from different disciplines.
✨Prepare for Technical Questions
Expect questions that test your programming skills and understanding of experimental platforms. Brush up on relevant programming languages and methodologies, and be ready to explain your thought process when tackling complex problems.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining your research and ideas clearly, as if you were presenting to a diverse audience. This will help demonstrate your ability to collaborate effectively within multidisciplinary teams.
