Senior/Research Fellow

Senior Research Fellow in Computational Modelling of Smart Knitted TextilesWe 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 PositionThis 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.