Gunma Prefectural College of Health Sciences

Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have opportunities to tackle real-world, industry-relevant problems, working alongside faculty members and professional officers. The SIT Centre for Intelligent Robotics (CIR) is an applied research centre responsible for developing and maintaining core applied robotics and embodied AI capabilities for real-world deployment. CIR is seeking a Robotics Engineer to implement state-of-the-art learning-based robotic manipulation methods on physical platforms for industry-driven applications, with an emphasis on contact-rich manipulation, robustness, and safe operation. The successful candidate will work closely with physical robots to translate recent advances in learning-based robotics into reliable, deployable systems. Key Responsibilities Implement, adapt, and evaluate state-of-the-art learning-based methods (e.g. imitation learning) for contact-rich robotic manipulation. Integrate hardware and software components into a functional system for real-world deployment. Design and execute field trials (test protocols, data logging, troubleshooting, reliability improvements). Produce technical documentation, reports, and implementation guides to support knowledge transfer and maintainability. Support project procurement activities (e.g., technical specifications, vendor evaluation, quotations) for robotics hardware, sensors, and compute resources. Contribute to publications and technical notes to disseminate research outcomes. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Experience in imitation learning and reinforcement learning for robotics applications. Hands-on familiarity with robotic manipulators and motion planning. Proficiency in deep learning frameworks such as PyTorch or TensorFlow. Experience with ROS / ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation tools such as Gazebo, Isaac Sim, or MuJoCo. At least 2 years of experience in robotics research or industry projects.

The Department The Department of Physics at Durham University is one of the leading UK Physics departments with an outstanding reputation for excellence in teaching, research and employability of our students. In the Research Excellence Framework (REF) exercise of 2021, the Department had 96% of publications rated as 3*/4*. The Department is committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognised by our Juno Champion and Athena SWAN Silver awards. We recognise and value the benefits of diversity throughout our staff and students. Durham University hosts one of Europe's largest and most active research groups working in the fields of observational and theoretical extragalactic astronomy, cosmology, and instrumentation. Currently we have about 35 permanent members of academic staff, around 100 postdoctoral researchers and postgraduate students, and several research-active emeritus staff. We have access to all UK national observing facilities, including ESO, ALMA and ESA, and membership of the KMOS, NuSTAR, XRISM LOFAR, PAUS, MOONs and IXPE teams. Durham is also a partner in the DESI, 4MOST, WEAVE, Euclid, LSST, JCMT, HARMONI, and e-MERLIN collaborations and surveys. We are part of the Virgo Consortium and host extensive supercomputing resources, including the `Cosmology Machine', some of which is part of the DiRAC national supercomputing facility. Further information may be found at . The Role Research Assistant We invite applications for a Research Assistant position, to start in October 2026, with an initial period of 2 years and the possibility of further extension. The post is funded by the ERC Consolidator Grant project X-MAPS and will be supervised by Dr Adam Ingram, who will be moving to Durham University in June 2026. The successful candidate will join thriving research teams within the Centre for Extragalactic Astronomy (CEA) at Durham, which is a leading group in observational astrophysics with expertise in compact objects, active galactic nuclei, galaxies and large-scale structure. The Role Postdoctoral Research Associate We invite applications for a Postdoctoral Research Associate position, to start in October 2026, with an initial period of 2 years and the possibility of further extension. The post is funded by the ERC Consolidator Grant project X-MAPS and will be supervised by Dr Adam Ingram, who will be moving to Durham University in June 2026. The successful candidate will join thriving research teams within the Centre for Extragalactic Astronomy (CEA) at Durham, which is a leading group in observational astrophysics with expertise in compact objects, active galactic nuclei, galaxies and large-scale structure. The role will contribute to the goals of the X-MAPS project, which aims to unify fast X-ray timing and X-ray polarimetry techniques to improve our understanding of black hole X-ray binaries and measure black hole fundamental properties. Specific research projects include training neural networks to act as fast drop-in replacements for advanced X-ray timing and polarisation models (e.g. the X-ray reverberation mapping code RELTRANS), and applying advanced Fourier timing techniques to search for rapid spectral and polarimetric variability in the X-ray signal from black hole X-ray binaries. We are therefore searching for candidates with experience in theoretical modelling of accreting black holes and/or in observational stochastic X-ray timing and polarimetric analysis.

Salary: £35,608 - £37,694 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Business, Higher Education Job reference: REQ000532 Attachments: attachmentEmployability Tutor HE (Business & Enterprise) - JDPS - April 26.pdf Hired provides careers, employability and placement services to our students. We currently have a vacancy for an Employability Tutor supporting both placement provision for established and new HE courses and building employability and career management skills to deliver positive graduate outcomes. This role supports students within the department of Business and Enterprise. You will need to develop strong links with UCB Schools and Departments regarding the service, as well as engage directly with employers to source and develop partnership and placement opportunities. The successful candidate will have knowledge of supporting students, either into placements/work experience, or have recent industry experience relevant to Business and Enterprise. Flexibility and a willingness to conduct placement visits off-site as required are essential Standard Information UCB is an equal opportunities employer. University College Birmingham is proud to be TEF rated Silver, with a Good Ofsted rating UCB has achieved the Investors in Diversity Bronze Award. You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.