Lecturer in Data-driven Biomechanical Modelling

Job Category: Education
Job Type: Full Time
Job Location: England
Company Name: UCL

UCL (University College London) is a leading multidisciplinary university in London, ranked 9th in the QS World University Rankings.

Founded in 1826, UCL was the first institution in England to offer education to students of all races, classes, and religions. It also became the first university to admit female students on equal terms with men.

Today, UCL is home to a community of outstanding individuals, including renowned professors and talented students. Our commitment to academic excellence and conducting research that tackles real-world challenges remains at the heart of our mission.

About Us

UCL Mechanical Engineering has been a leader in engineering education for over 170 years. In the most recent UK Research Excellence Framework (REF 2021), 93% of our faculty’s research was rated as “world-leading” or “internationally excellent.” Our department, which is large and multi-specialized, thrives on diverse research and interdisciplinary collaboration. We have 45 academic staff working across four main research areas: Biomechanics, Energy and Environment, Marine and Materials, and Structures and Manufacturing.

About the Role

We are seeking a Lecturer (comparable to a U.S. tenure-track Assistant Professor) in Data-driven Biomechanical Modelling. This position offers the opportunity to lead interdisciplinary research and teaching, driving the department to new academic heights. Our facilities include top-tier research labs and advanced computational biomechanical analysis tools. We collaborate extensively with medical professionals and the biomedical industry, including partnerships with UCL, NHS Hospitals, and Biomedical Research Centres.

The primary focus of this post is on “biomechanical modelling with data science.” Our Biomechanical Engineering group is at the forefront of computational modelling, applying innovative methods to problems ranging from fundamental bioscience to clinical practice. The role will combine traditional mathematical and computational techniques with data-driven methods such as statistical analysis and machine learning to enhance the department’s expertise. We are particularly interested in candidates with a focus on clinical applications and improving our understanding of human biology and physiology.

The successful candidate will work closely with colleagues in other research areas, particularly those in the UCL Institute of Healthcare Engineering and NIHR Biomedical Research Centres (UCLH, GOSH, Moorfields), translating scientific advancements into patient outcomes.

About You

We invite applications from candidates with:

  • A PhD/EngD in biomedical engineering, mechanical engineering, or a related field.
  • A proven research track record, demonstrated by high-quality publications or other research outputs.
  • Expertise in biomechanical modelling and data science, with a clear connection to research and teaching in these areas.
  • A broad background that supports contributions to UCL’s teaching programs, particularly in computational modelling and data science.
  • Skills in bioengineering research relevant to the role.
  • Experience designing and delivering inclusive education at both undergraduate and postgraduate levels, with an international outlook.
  • A demonstrated ability to secure research funding.
  • Experience supervising PhD students and contributing to collaborative research projects.

For a detailed list of requirements, please refer to the attached Job Description & Person Specification.

What We Offer

Along with exciting opportunities, we offer excellent benefits. Visit our Rewards and Benefits page for more details.

Our Commitment to Equality, Diversity, and Inclusion

As London’s Global University, we believe that diversity fosters creativity and innovation. We are committed to equality, fairness, and inclusivity, ensuring our community reflects the world’s diverse talent.


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