University of Oxford, Department of Engineering Science

We’re proud to announce EPIONE, a six-year, £11 million programme led by the University of Oxford, supported by the EPSRC, and involving world-class partners including the University of Cambridge, University of Glasgow, and UCL. This new Oxford-led project aims to revolutionise chronic pain treatment. EPIONE brings together cutting-edge engineering, neuroscience, and clinical expertise to develop personalised, adaptive treatments for #ChronicPain a condition affecting nearly half of UK adults. By integrating insights from patients, clinicians, and engineers, EPIONE aims to transform how chronic pain is understood and treated reducing or even abolishing pain for millions. 🧠 “EPIONE will develop ‘smart’ therapies that monitor the body and adjust treatment dynamically,” #OxfordResearch #Neuroengineering #ChronicPain #EPSRC #HealthcareInnovation #BiomedicalEngineering #EPIONE Find out more 👉 https://lnkd.in/eArxH8Hc

Teaching robots to build - without reprogramming them🤖 In this Spotlight talk, Oxford researcher Alexander Mitchell shares how we’re training robots to learn on the job - walking, building, and collaborating in dynamic, small-batch environments. It’s a glimpse into the future of adaptive robotics, human-robot collaboration, and applied AI. Watch the full talk from our Spotlight: Illuminating Engineering series here: https://lnkd.in/eHsdCQwX #OxfordEngineering #Robotics #AI #EngineeringScience #AdaptiveSystems #OxfordUniversity #SpotlightTalk Oxford Robotics Institute

Celebrating excellence in engineering! 🎉 Our Department has announced its 2025 student awards, recognising 25 outstanding undergraduates for exceptional achievements in design, projects, and academic performance. We wish to congratulate - Holly Passant from Magdalen College School, Oxford: Winner of the Qualcomm Prize for placing top in Biomedical Engineering, who is already applying her First Class MEng degree to her new role as an Equity Derivatives Sales Analyst at Goldman Sachs. Xinying Li: Awarded the Ronald Victor Janson Prize for her brilliant final year project on Distributed Near-Field Conductivity Imaging. Gaurav Mediratta from Lincoln College: Winner of the Motz Prize for his unique thesis applying Machine Learning to X-ray data to uncover compositional patterns in 1,500-year-old Aksumite coins. This cohort demonstrates the breadth of talent and interdisciplinary thinking within our program. Congratulations to all 25 prizewinners! We are incredibly proud of your hard work and look forward to your future contributions. #EngineeringExcellence #OxfordUniversity #StudentAwards #MEng #BiomedicalEngineering #MachineLearning #EngineeringScience Find out more: https://lnkd.in/ec_RxGHF

🔬Oxford EARTH is recruiting an Engineering and Earth Sciences Research Fellow The Department of Engineering and the department of Earth Sciences is seeking to appoint a research fellow under the title of ' Senior Research Associate in Biotechnology for Natural Resource Innovation'. Successful applicants will work at the forefront of innovation in biotechnological applications to resources alongside an interdisciplinary team pushing forward the technologies underpinning this area, ranging from identification of natural resource-accumulating microbes to robotic platforms for engineering and optimisation of their behaviour. This post is one of four new Senior Research Associate positions being created as part of Oxford EARTH. ✍ We welcome applications from creative researchers working in the broad area of biotechnological approaches to sustainable natural resource identification, accumulation, and recycling/remediation, which may span methods including, but not limited to: •        resource bio-mining •        bio-recycling and bio-recovery •        natural bio-prospecting •        bio-process engineering •        engineering/synthetic biology applications in resources. ⏱️The application deadline is 20 October at 12 noon – apply soon! For full details and to apply, follow this link: https://lnkd.in/eJKVZJa4 University of Oxford, Department of Engineering Science, Oxford Earth Sciences, Julie Cosmidis

Join us on Wed, 29 Oct 2025 | 19:30–20:15 in the Levett Room, Wolfson College, for a talk by Dorcas Tuitoek on green iron making in the steel industry. Explore how renewable energy is transforming chemical processes and driving sustainable innovation. Open to all disciplines! Can’t attend in person? Join online here: https://lnkd.in/eccnVUvc Wolfson College University of Oxford, Department of Engineering Science Oxford Women in Engineering Network

Join us on Wed, 12 Nov 2025 | 19:30–20:15 in the Levett Room, Wolfson College, University of Oxford, for a talk by Chenying Liu exploring how origami principles inspire robotics and machine intelligence. Open to all disciplines! Can’t attend in person? Join online here: https://lnkd.in/eG-se5jQ Wolfson College University of Oxford, Department of Engineering Science Institute of Biomedical Engineering, University of Oxford The Podium Institute

🎉 Very excited to share that my paper “GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation” is a finalist for the IEEE-RAS Outstanding #WiRA Paper Awards at #IROS2025! 🤖 I’ll be presenting this work on Wednesday, Oct 22, during: 🗓 Women's Forum - WiE Luncheon: 10:30-14:00, Chengshan Hall A&B 🗓 Intelligent Transportation Systems 4 (Regular Session WeDT17.6): 17:05–17:10, Room 210A, followed by a poster session 🚗 What is GraphSCENE? GraphSCENE is a framework that leverages temporal GNNs and real-world traffic data to automatically generate diverse traffic scenarios in simulation on demand, tailored to user preferences. This work streamlines the manual process of scenario creation, making autonomous vehicle testing more scalable, fast, and realistic. 🌐 Website: https://lnkd.in/eNSbkAJr 📄 Paper: https://lnkd.in/epn9PnHw 🖼️ Poster: https://lnkd.in/eEiK5AnX 💻 Code release coming soon A big thank you to my awesome co-authors Georgi Pramatarov, Lars Kunze, and Daniele De Martini! And, sincere thanks to the IEEE Robotics & Automation Society - Women in Engineering (WiE) for organising such meaningful events, highlighting women's contributions to robotics. Especially so close to Women in Robotics Day 💜 Oxford Robotics Institute University of Oxford, Department of Engineering Science #AutonomousVehicles #GraphSCENE #GraphNeuralNetworks #Simulation #AVTesting #Research #Robotics #WomenInRobotics #DeepLearning #AI #Transportation #IEEE

From Data Science to Machine Learning: Insights from the Engineering World Fri, 14 Nov 2025 13:00 - 17:00 Jesus College Cheng Kar Shun Digital Hub, Oxford Hosted by the Oxford Women in Engineering Network in collaboration with the Cambridge University Women in Engineering Society. This free event will explore engineering in the Digital Age through the lens of female researchers, showcasing their outstanding contributions while providing a space to share experiences, exchange ideas, and build connections. Women are still vastly underrepresented in the engineering profession, accounting for less than 17% of the workforce in 2025 (according to EngineeringUK). With the engineering world being increasingly shaped by progress in data science and AI, this event will showcase cutting-edge research that employs diverse digital methods and technologies, featuring the work of both established women leaders and emerging voices. Registration: https://lnkd.in/eN5Q4amV

Congratulations to Dr Thomas Monahan, on winning the prestigious ERCOFTAC Da Vinci Award for the best European PhD thesis in theoretical and applied fluid mechanics! This annual prize recognises exceptional scientific contributions with direct engineering relevance. Thomas's doctoral research, supervised by Professors Thomas Adcock, Stephen Roberts, and Dr Tianning Tang, focused on using Machine Learning to study and predict tides and storm surges. A key achievement was his novel application of ML to a 1960s sea-level theory, paving the way for more accurate global flood forecasting work that he continues today. This follows his earlier win of the Osborne Reynolds prize! Monahan remains at Oxford supported by the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship and holds the W.W. Spooner Junior Research Fellowship at New College. We are incredibly proud of his success and the real-world impact of his research. #FluidMechanics #MachineLearning #AIinScience #ERCOFTAC #OxfordUniversity #ResearchImpact #FloodForecasting Find out more: https://lnkd.in/ewSuZyE4

Senior Research Programme Manager (EPIONE) £49,119 - £58,265 per annum 10-Nov-2025 12:00 noon We are seeking a full-time experienced Senior Research Programme Manager to join the team at the Institute of Biomedical Engineering within the Department of Engineering Science at the University of Oxford. The post is fixed-term until 30 April 2031. The EPIONE Senior Research Programme Manager will be responsible for a six-year EPSRC-funded initiative focused on developing new engineering technologies for chronic pain. They will oversee the successful running of the EPIONE programme, managing day-to-day operations and providing strategic oversight to support the programme’s development. This includes full responsibility for operational aspects such as administration, finance, and practical support, working within the support structures of the Institute of Biomedical Engineering and the Department of Engineering Science. The scientific focus of the project applies state of the art neurotechnology to chronic pain. This is a major challenge as up to 1 in5 people suffer from debilitating chronic pain in the population, often associated with conditions such as cancer, arthritis and stroke. The programme brings together multiple research teams working across Oxford, Cambridge, UCL and Glasgow universities who are united to try and develop a new generation of treatments, working on complex projects with a central focus on brain stimulation and modulation systems for chronic pain sufferers. This includes both implantable brain-machine systems and non-invasive brain stimulation technologies. You should be educated to Degree level, or have equivalent experience with evidence of strong intellectual, numerical and analytical skills, strong academic capabilities, proven leadership and financial management experience in complex organisations, and the ability to engage with technical and scientific material. You must be highly organised, an excellent communicator, and skilled in strategic planning, negotiation, and multitasking under pressure. Proficiency in IT and committee servicing is essential, while experience in scientific or biotech environments, regulatory affairs, and event or grant administration is desirable. At the university of Oxford your happiness and wellbeing at work is important to us. We have a number of generous benefits including 38 days' annual leave (inclusive of bank holidays and fixed closure days), generous pension schemes and free access to the Oxford colleges. For more information about working at the Department, see https://lnkd.in/e3jsERVh Informal enquiries may be addressed to Katherine Baysan (email: [email protected]). Apply now: https://lnkd.in/eKaBEJtt