At a Glance
- Tasks: Join the Michalchuk group to conduct cutting-edge research in computational materials science.
- Company: Dynamic School of Chemistry focused on innovative research and collaboration.
- Benefits: Opportunity for professional growth, collaboration with top researchers, and access to high-performance computing.
- Why this job: Make a real impact in materials science while developing your skills and knowledge.
- Qualifications: PhD in computational materials chemistry/physics or related field; strong programming skills in Python.
- Other info: Engage in diverse research activities and contribute to exciting projects with global collaborators.
The predicted salary is between 36000 - 60000 Β£ per year.
Work within the Michalchuk groupβs research grants and projects and contribute to writing bids.
Support computational materials modelling and inelastic neutron scattering spectroscopy activities of the group.
Collaborate with local, national, and international partners to successfully deliver high-quality research outcomes.
Analyse and interpret research findings and results.
Contribute to disseminating research findings via appropriate platforms (such as conferences and academic publications).
Contribute to generating funding and licensing or spin-out deals with demonstrated commercial success (such as revenues, asset or company sales, IP generated) and/or public understanding of the discipline or similar.
Main Duties:
- Take a prominent role in delivering the research goals of the group.
- Conduct a research program, defined in agreement with the group.
- Contribute to writing bids for research funding (including facility access).
- Analyse and interpret data.
- Apply knowledge in a way which develops new intellectual understanding.
- Disseminate research findings for publication, research seminars, etc.
- Supervise students on research-related work and provide guidance to PhD students where appropriate to the discipline.
- Contribute to developing new models, techniques, and methods.
- Undertake management/administration arising from research.
- Contribute to Departmental/School research-related activities and research-related administration.
- Contribute to enterprise, business development, and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader.
- Collect research data through various methods, such as scientific experimentation, computer or numerical simulation, literature reviews, and research interviews.
- Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters, and for regular project updates to funders and collaborators.
- Provide guidance, as required, to support staff and any students who may be assisting with the research.
- Deal with problems that may affect the achievement of research objectives and deadlines.
- Promote equality and values diversity acting as a role model and fostering an inclusive working culture.
- Ensure compliance with health and safety, and in data security and research integrity, in all aspects of work.
Person Specification:
Subject Specific: The candidate should have, or be nearing completion of, a PhD (or equivalent) in computational materials chemistry/physics, or related relevant area. The candidate must have demonstrable experience working with high-performance computing infrastructure. The candidate must have a strong track record in programming, preferably in Python. The candidate should have demonstrable expertise in computational modelling of solids, preferably using density functional theory methods. Previous experience in the use and/or development of machine learned interatomic potentials would be seen as a significant asset. Previous experience of inelastic neutron scattering spectroscopy (or similar) would be seen as favourable.
General: High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and use resources effectively. Understanding of and ability to contribute to broader management/administration processes. Contribute to the planning and organising of the research programme and/or specific research project. Co-ordinate own work with others to avoid conflict or duplication of effort. Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day-to-day activity in own area that those with protected characteristics are treated equally and fairly.
Research Fellow in Computational Materials Science - School of Chemistry - 106607 - Grade 7 employer: University of Birmingham
Contact Detail:
University of Birmingham Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Research Fellow in Computational Materials Science - School of Chemistry - 106607 - Grade 7
β¨Tip Number 1
Network like a pro! Reach out to people in your field, attend conferences, and engage with researchers on platforms like LinkedIn. Building connections can lead to opportunities that arenβt even advertised.
β¨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation of your research work and findings. When you get the chance to chat with potential employers, having something visual to share can really make you stand out.
β¨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses. Focus on articulating your research experiences and how they align with the job requirements.
β¨Tip Number 4
Donβt forget to apply through our website! Weβve got loads of resources to help you land that dream job. Plus, it shows youβre genuinely interested in being part of our team!
We think you need these skills to ace Research Fellow in Computational Materials Science - School of Chemistry - 106607 - Grade 7
Some tips for your application π«‘
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in computational materials science. We want to see how your skills align with the specific duties mentioned in the job description, like your programming expertise and research background.
Showcase Your Research Experience: When detailing your past projects, focus on your contributions to research outcomes and any collaborative efforts. We love seeing how you've worked with others to achieve high-quality results, so donβt hold back on those details!
Be Clear and Concise: Use straightforward language to explain your qualifications and experiences. We appreciate clarity, especially when it comes to complex topics like computational modelling. Keep it simple and to the point!
Apply Through Our Website: Donβt forget to submit your application through our official website! Itβs the best way for us to receive your materials and ensures youβre considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at University of Birmingham
β¨Know Your Research Inside Out
Make sure youβre well-versed in the Michalchuk groupβs current projects and research goals. Familiarise yourself with their recent publications and any ongoing collaborations. This will not only show your genuine interest but also help you discuss how your skills can contribute to their work.
β¨Showcase Your Technical Skills
Be prepared to discuss your experience with high-performance computing and programming, especially in Python. Bring examples of your previous work in computational modelling and be ready to explain complex concepts clearly. This will demonstrate your analytical capabilities and technical expertise.
β¨Prepare for Collaborative Discussions
Since the role involves working with various collaborators, think about how you can effectively communicate and coordinate with others. Be ready to share examples of past teamwork experiences and how youβve successfully navigated challenges in collaborative settings.
β¨Highlight Your Funding Experience
If you have experience writing bids for research funding or contributing to successful grant applications, make sure to mention it. Discuss any strategies you used to secure funding and how you can apply those skills to support the groupβs research initiatives.