Duhok Polytechnic University

Introduction As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop software platforms for supporting multi-user AR/VR applications. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake the following responsibilities: Develop an interactive metaverse application for online education, team collaboration, and workplace training with a focus on real-time interactive simulation. Optionally, design and lead user study. Analyze the data and publish academic research papers in international academic conferences/journals Perform testing Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle Software Development: Strong knowledge in Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.). Experience in developing XR app for teaching & learning/training. Experience developing optimized modules within Unity and/or Unreal Engine Experience with database management systems User study – Optional. End-to-End Study Leadership: Lead the full lifecycle of user research, from defining objectives and methodologies (e.g., usability, A/B testing, interviews) to facilitating sessions and extracting unbiased, actionable insights. Scientific Authoring & Publication: Drive the creation of high-quality research papers for top-tier peer-reviewed venues (e.g., CHI, UIST, CSCW), translating complex technical architectures and study results into compelling academic narratives. Ethical Oversight & IRB Management: Manage the formal Institutional Review Board (IRB) process, ensuring all protocols, data handling, and participant interactions meet the highest ethical and legal standards for human-subjects research. Advanced Data Synthesis: Analyze qualitative and quantitative data to identify deep behavioral patterns, using these findings to ground both product development and scholarly contributions in empirical evidence.

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.  We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role An opportunity has arisen within the Front of House team for a proactive, self-motivated and highly organised individual to join our team at Surrey Sports Park. The post holder will need to have the ability to think independently, problem solve and possesses excellent communication skills. There will be a wide range of external and internal enquiries to deal with, therefore comprehensive knowledge of all areas of Surrey Sports Park will be integral to performing this role successfully, as well as a desire to deliver excellent customer care and service. In addition, the post holder will be able to demonstrate excellent organisational and administration skills, along with adaptability, openness to change and personal motivation in all aspects of their work. Surrey Sports Park is at the heart of sport and physical activity in Surrey, and our mission is to deliver the best possible sport, health and wellbeing experience to our University of Surrey students and to the wider SSP community. We provide strategic added value to the University by delivering an outstanding student experience through social and competitive sport and providing an excellent environment for wellness and fitness for Surrey staff and students, and our community impact is significant both culturally and physically. The team is passionate and high performing, and the business model requires us to deliver a self-sustaining, well managed and customer service focused business. How to apply If you would like to discuss this role further please contact Mollie Kimpton on m.kimpton@surrey.ac.uk. Please apply online on the University website with a CV and supporting statement. The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note CVs cannot be accepted without a completed application form. Further details Job Description

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.  We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role Applications are invited for a Research Fellow (RF) position for 12 months within the Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, UK, to work on building machine learning and AI models for perceptual quality prediction of spatial music.  The post is funded by a leading industry partner. The focus will be to develop machine learning and AI models and signal processing algorithms for perceptual quality prediction and rating of songs reproduced using 3D rendering algorithms. About you The post-holder is expected to have a PhD degree (or equivalent) in machine learning, spatial audio, audio signal processing, audio perception, audio quality assessment, or a related area in electronic engineering, computer science, applied mathematics, or statistics. Preference will be given to those who have experience on machine learning/AI, spatial audio, but candidates who have experience in audio perception and signal processing are welcome to apply. The post-holder is expected to have strong analytical and programming skills in Python, Matlab or C/C++. The post-holder will also collaborate with other team members, such as the Research Fellow who focuses on listening tests and data curation. The post-holder will be based in CVSSP, and work under the direction of the Principal Investigator Prof Wenwu Wang, and in collaboration with the industrial partner. CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception and AI, with over 180 researchers. The Centre has state-of-the-art audio and video capture and analysis facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 300 GPUs and >2PB of high-speed secure storage. The post-holder will also have access to the compute resources from Surrey Institute of People Centred AI, including 200+ state-of-the-art GPUs.  How to apply Please apply with your CV and cover letter on the University website.  For informal inquiries, please contact Prof Wenwu Wang (Email: w.wang@surrey.ac.uk; Web: https://personalpages.surrey.ac.uk/w.wang/). The University of Surrey reserves the right to close this vacancy early or extend based on Volume and Calibre of applications. Further details Job Description