Research Fellow in Large Scale Choice Modelling in Leeds

Research Fellow in Large Scale Choice Modelling in Leeds

Leeds Full-Time 48822 - 48822 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse large-scale behavioural data and develop innovative modelling methods.
  • Company: Join the University of Leeds, a top 80 global university with a diverse community.
  • Benefits: Enjoy 42 days of holiday, generous pension, and access to wellness facilities.
  • Other info: Flexible working arrangements and excellent career development opportunities available.
  • Why this job: Shape the future of behavioural modelling in transport, health, and environmental applications.
  • Qualifications: Expertise in statistical modelling, econometrics, or machine learning required.

The predicted salary is between 48822 - 48822 £ per year.

Location: Leeds - Main Campus

Working time: 100% FTE - 37.5 hours per week

Contract type: Fixed term (12 months - to complete a specific task or time limited work.) This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.

The University of Leeds is one of the top 80 universities in the world. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. Established in 1904, we have a strong tradition of academic excellence, reflected in first-class student education, along with world-leading research that has a real impact around the globe.

Do you have expertise in advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable of extracting behavioural insight from increasingly complex and high-dimensional datasets? Would you like to help shape the next generation of behavioural modelling methods with applications in transport, health and the environment?

Understanding human decision making increasingly relies on analysing very large datasets collected through digital technologies, administrative systems, sensors and longitudinal studies. While these datasets offer unprecedented opportunities to understand behaviour at scale, they also present significant methodological challenges. Many of the most behaviourally realistic choice models remain computationally expensive to estimate, limiting their application to modern population-scale datasets.

Working with Professor Stephane Hess and colleagues within the Choice Modelling Centre, you will contribute to methodological advances that enable state-of-the-advanced.

Visa Eligibility

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa. For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: www.gov.uk/global-talent.

What we offer in return

  • 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) - That’s 42 days a year!
  • Generous pension scheme options plus life assurance.
  • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.
  • And much more!

To explore the post further or for any queries you may have, please contact: Professor Stephane Hess, Professor of Choice Modelling Email: S.Hess@leeds.ac.uk

£41,064 to £48,822 per annum (Grade 7)

Research Fellow in Large Scale Choice Modelling in Leeds employer: Institute for Modern

The Quadram Institute is an exceptional employer, offering a collaborative and inclusive work culture that values diversity and innovation. As part of the Core Science Services team, you will have the opportunity to contribute to groundbreaking research in bioscience while benefiting from a supportive environment that encourages professional growth and development. Located in the vibrant Norwich Research Park, employees enjoy access to state-of-the-art facilities and a commitment to work-life balance through family-friendly arrangements.

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Contact Details:

Institute for Modern Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Fellow in Large Scale Choice Modelling in Leeds

Get Involved in Research Communities

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Show Off Your Research Projects

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Utilise Professional Networks

Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.

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We think you need these skills to ace Research Fellow in Large Scale Choice Modelling in Leeds

Advanced Statistical Modelling
Econometrics
Machine Learning
Data Analysis
Behavioural Insight Extraction
Methodological Development
High-Dimensional Data Analysis

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 Institute for Modern. 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 Institute for Modern. 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 Institute for Modern

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 Institute for Modern. 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 Institute for Modern to drive research projects forward.