At a Glance
- Tasks: Conduct cutting-edge research in mathematical and data modelling for innovative engineering projects.
- Company: Join a dynamic, interdisciplinary team at the School of Engineering Mathematics and Technology.
- Benefits: Competitive salary, full-time hours, and opportunities for professional growth.
- Other info: Open-ended contract with fixed funding until 2028; excellent career development opportunities.
- Why this job: Make a real impact on engineering solutions while collaborating with top researchers.
- Qualifications: PhD or equivalent experience in relevant fields and strong mathematical modelling skills.
The predicted salary is between 39906 - 44746 £ per year.
You will be part of an international collaborative project funded by a joint US and UK NSF-EPSRC proposal on "Predictive modelling for instability avoidance under human-structure interaction." You will be based in the unique interdisciplinary and inclusive School of Engineering Mathematics and Technology.
What will you be doing?
The post-holder will be expected to carry out research using scientific machine learning to construct reduced-order models using the theory of invariant foliations. The methods will be developed in the context of data collected from microscopic models of individual agents, coupled to their environment. Together with the wider team, you will apply the method to simulate and analyse mathematical models of pedestrian bridges and similar civil engineering structures, together with crowd movement on the structure. You will be expected to take a leading role in preparing the results for publication.
You should apply if:
- Proficiency in creating, analysing and performing computation of mathematical models of physical processes
- Proficiency in creating and adapting scientific research software in an appropriate language.
- A track record in publication in appropriate venues.
- A PhD or equivalent experience in a topic of relevance to the project.
Additional information
For informal queries please contact: Dr Robert Szalai, Associate Professor of Applied Mathematics +441174552372 r.szalai@bristol.ac.uk or Professor Alan Champneys, Associate Professor of Applied Non-Linear Mathematics +441174551041 a.r.champneys@bristol.ac.uk.
Contract type: Open ended with fixed funding until 01/09/2028
Work pattern: Full time/35 hours per week
Grade: I/J - Pathway 2
Salary: £39,906 - £44,746 (Grade I) or £44,746 (Grade J) per annum depending on experience
School/Unit: School of Engineering Mathematics and Technology
This advert will close at 23:59 UK time on 13/09/2026. The interviews are anticipated to take place week commencing 28/09/26.
Research Associate / Senior Research Associate in Mathematical and Data Modelling employer: University of Bristol
Join our award-winning university health service as a Nurse Practitioner, where you will be part of a close-knit and supportive primary care team dedicated to the well-being of our diverse student population. Enjoy a collaborative work culture that fosters professional growth, with opportunities to engage in evidence-based patient care in a beautiful, purpose-built practice. We value your expertise and enthusiasm for working with young people, offering a fulfilling environment that prioritises both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate / Senior Research Associate in Mathematical and Data Modelling
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like University of Bristol!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Associate / Senior Research Associate in Mathematical and Data Modelling at University of Bristol.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like University of Bristol.
✨Apply Directly through Our Website
When you find a suitable opening like Research Associate / Senior Research Associate in Mathematical and Data Modelling at University of Bristol, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Associate / Senior Research Associate in Mathematical and Data Modelling
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at University of Bristol, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at University of Bristol. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at University of Bristol
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at University of Bristol!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
