At a Glance
- Tasks: Join a cutting-edge team to develop tools for neuroimaging data analysis.
- Company: UCL's Functional Imaging Laboratory, a leader in neuroscience research.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: International applicants welcome; commitment to diversity and inclusion.
- Why this job: Make a real impact in neuroscience with innovative statistical methods.
- Qualifications: PhD in mathematics or statistics and strong programming skills required.
The predicted salary is between 47186 - 55099 £ per year.
We are seeking a highly motivated individual to join Professor Zeidman's team at the Functional Imaging Laboratory (FIL) in the Department of Imaging Neuroscience to create tools for multivariate analysis of neuroimaging data (e.g. anatomical MRI, fMRI, M/EEG, OPMs), make these available to the community via SPM and conduct a mathematical review of existing multivariate analysis techniques.
You will be based in the Neurovascular Modelling Group, which is part of the wider Methods Group who develop the Statistical Parametric Mapping (SPM) software package. The post is available from 4 January 2027 and is funded by the Wellcome Discovery Research Platform for Naturalistic Neuroimaging to 3 January 2029 in the first instance.
You will have a PhD in mathematics, statistics or imaging methods and experience with developing Bayesian statistical models or methods. The ability to derive update equations for Variational Bayes model fitting, evidence of independent and creative work in mathematical modelling and strong programming skills are essential. Experience working with imaging data, multivariate statistics and Matlab is desirable.
A well-established track record of impactful publications, and experience of managing staff is essential for appointment as a Senior Research Fellow. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.
Starting salary offered as Research Fellow/UCL Grade 7 (£47,186 - £55,099 per annum including London Allowance) or Senior Research Fellow/UCL Grade 8 (£57,570 - £67,776 per annum including London Allowance), dependent on skills and experience. Appointment as Research Fellow is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be as Research Assistant (salary £40,603 - £43,749 per annum) with appointment as Research Fellow being backdated to the date of final submission of the PhD thesis.
As well as the exciting opportunities this role presents, we also offer great benefits. This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff.
Our commitment to Equality, Diversity and Inclusion: As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce; these include people from Black, Asian and ethnic minority backgrounds, disabled people, LGBTQI+ and gender diverse people in all roles, and women in Grade 9 and 10 roles.
(Senior) Research Fellow in Statistical Methods in London employer: UCL
UCL School of Management is an exceptional employer that fosters a collaborative and innovative work culture, ideal for those passionate about digital communications. Located in the vibrant city of London, employees benefit from professional growth opportunities, access to cutting-edge resources, and a commitment to inclusivity and diversity. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land (Senior) Research Fellow in Statistical Methods in London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at UCL, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
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We think you need these skills to ace (Senior) Research Fellow in Statistical Methods in London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at UCL. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at UCL. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at UCL
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at UCL. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at UCL to drive research projects forward.
