Senior Research Fellow in Computational Modelling of Smart Knitted Textiles
We seek a Senior Research Fellow (3-5 years postdoctoral experience) to join a multidisciplinary team working on computational modelling of knitted textile structures for energy harvesting applications. The postholder will develop and apply advanced modelling and data-driven methods to establish quantitative links between textile architecture and functional performance, working in close collaboration with experimental colleagues.
Key Responsibilities
- Develop and validate computational models of knitted fabric structures, capturing the mechanical behaviour of complex knit architectures under various loading conditions.
- Establish quantitative relationships between textile structural parameters - such as stitch geometry, yarn properties, and knit pattern - and functional energy harvesting performance.
- Apply data-driven and machine learning techniques to accelerate model-based design and reduce reliance on physical prototyping.
- Validate model predictions against experimental data generated by collaborating groups and work closely with fabrication teams to inform design recommendations.
- Contribute to the broader research programme through independent scholarly initiative and collaboration with partner groups.
- Lead dissemination through high-impact journal publications and conference presentations.
Requirements
- PhD in mechanical engineering, materials science, computational mechanics, or a closely related discipline.
- 3-5 years of postdoctoral research experience with a strong publication record.
- Expertise in finite element modelling experience with textile, fibre, or soft material mechanics is highly desirable.
- Familiarity with energy harvesting mechanisms (e.g., piezoelectric, triboelectric, or thermoelectric) is an advantage.
- Experience with machine learning or data-driven modelling methods is desirable.
- Ability to work independently and provide leadership to junior researchers and graduate students within an interdisciplinary team.
- Excellent written and oral communication skills in English.
About the Position
This is a full-time, 2-year position embedded in a flagship initiative on wearable-embedded embodied AI for healthy ageing and rehabilitation. The postholder will join tripartite collaboration team spanning advanced fiber design, knitting design and advanced signal processing expertise.
