10 Postdoctoral Fellowship at Heriot-Watt University, Edinburgh, United Kingdom

The Project Vision is to develop a coherent framework that enables humans and machines to work as a team by establishing and maintaining a single shared view of the world and each other’s intents through transparent interaction, robust to a highly dynamic and unpredictable maritime environment. We aim at removing workers from harsh and extreme environments to replaced them with teams of smart robots able to do the ‘dirty and dangerous jobs’, collaborating seamlessly as a team with each other and with human operators and experts on-shore. In this new world, remote data collection, fusion and interpretation become critical, together with the ability to generate actionable decisions from this data, sending remote robots to perform actions autonomously.

The Research Assistant will work within the AOP research group supporting the EPSRC (Part of the UK national research council) project EP/V01269X/1 “Ultra-short pulsed laser welding “.

In this project our drive is to extend our welding process to new combinations of materials (including important IR materials) and shapes. To achieve this, the project will create novel sensing tools which will support rapid process optimisation and the Research Assistant will work on developing, testing and implementing these diagnostic tools within the High Power Laser Labs.

The National Robotarium, located at Heriot-Watt University’s Edinburgh campus, is a world-renowned hub for Robotics and Artificial Intelligence. It is home to cutting-edge research and innovation labs across three core areas: Robotics & Autonomous Systems (RAS), Human Robot Interaction (HRI), and High Precision Manufacturing. Our uniquely flexible facilities allow industry partners in healthcare, agriculture, construction, and other economic sectors to collaborate with experts in Robotics and AI to develop technologies and carry out challenge-based innovations that can move rapidly from laboratory to market.

2 new Research Fellows will work on developing a national capability in Digital Twinning to enable transport decarbonisation, by informing a large consultation on its structure, membership and research agenda. With the opportunity for an immediate start, we seek experienced and organised researchers to support an extensive range of consultation activities, including focus groups, open and semi-structured interviews, as well as workshops. The applicant will be part of a unified Heriot-Watt and University of Glasgow team, consisting of academics, researchers, business development staff and expert consultants.  The successful applicants will support stakeholder engagement, coordination of activities and analysis of qualitative and quantitative feedback.   The role provides a unique and high profile opportunity to establish extensive and valuable network connections, and to be central to the co-creation of a strategic national research agenda in Digital Twinning for Transport. 

The Project Vision is to develop a coherent framework that enables humans and machines to work as a team by establishing and maintaining a single shared view of the world and each other’s intents through transparent interaction, robust to a highly dynamic and unpredictable maritime environment. We aim at removing workers from harsh and extreme environments to replaced them with teams of smart robots able to do the ‘dirty and dangerous jobs’, collaborating seamlessly as a team with each other and with human operators and experts on-shore. In this new world, remote data collection, fusion and interpretation become critical, together with the ability to generate actionable decisions from this data, sending remote robots to perform actions autonomously. 

The projects are led by Prof. Wiaux and supported by a unique team of international partners: Prof. Pesquet from the Digital Vision Centre at Université Paris-Saclay (CentraleSupelec), Prof. Thiran from the EPFL Signal Processing Laboratories, Mr Jackson at the UoE Parallel Computing Centre (EPCC), Prof. Smirnov from the South African Radio Astronomy Observatory (SARAO), Dr Bouman and Prof. Hallinan from the California Institute of Technology (Caltech), Prof. Laing from the International Square Kilometre Array Organisation (SKAO), and Dr Neji from Siemens Healthineers UK.

The successful candidate is expected to lead research on upscaling of immiscible two-phase fluid flow in heterogeneous carbonate rocks. The upscaling framework will be developed from micro to millimeter scale using a machine learning approach, which will be supported by experimental and modelling data already acquired by the research team.

This research associate position is part of a large multidisciplinary research project on maximising CO2 storage in complex carbonate rocks. The candidate will benefit from interactions with other team members with expertise in X-ray imaging, 3D image processing, in situ multiphase flow experiments at subsurface pressure and temperature conditions, pore-network modelling, direct numerical simulations and machine learning.

The Computational Molecular Science and Engineering Laboratory (CoMSEL) at Heriot-Watt University in the School of Engineering & Physical Sciences is seeking to hire two postdocs in the broad area of enabling CO2 capture and storage using AI. Carbon Capture and Storage (CCS) is one of the viable solutions that can effectively reduce CO2 emissions from hard to decarbonise industries (e.g., steel, cement). Most aspects of CCS are technologically mature but there are key barriers for large scale CCS implementation. In particular, CoMSEL’s role in this project, which is part of a large UKRI funded initiative in collaboration Imperial College, will focus on integrated solvent and process design.

We are seeking candidates for a postdoctoral position in the Computational Molecular Science and Engineering Laboratory (CoMSEL). Applicants should hold a PhD in Chemical Engineering, Biochemistry, Chemistry or a related subject and have substantial experience in molecular modelling with either molecular dynamics simulations and/or molecular based equations of state. 

Mental health represents, globally, a priority for public health organizations, policy makers, patients and citizens. The mental illnesses’ diagnosis and decision processes are still uncertain and inconsistent especially in a fast-evolving real world where stressors affect people in different ways. This understanding is key to developing mental health services and outstanding policies that are more responsive to the cultural and social contexts and inclusive towards vulnerable people. SMILE aims to improve the quality of self-assessment, learning, and clinical practices and ensure affordable services by sharing evidence-based knowledge, providing scalable digital tools, and ensuring personalized decision-making and interventions in an effective way.