University of Navarra

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.

Introduction As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of a research team to investigate and determine potentially critical Commercial Off-The-Shelf (COTS) drone system vulnerabilities impacting confidentiality, integrity and availability. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PIs and research team members to ensure all project deliverables are met. Initiate and help guide work and demonstrations in the following tasks: Firmware extraction and reverse engineering. Study, understand and analyse mobile platform applications. Design, develop and test AI-driven security testing techniques. Design, develop and test control augmentation techniques. Adaptation of developed techniques for more generic use. Perform project documentation and technical mentoring of student assistants. 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 good degree in Computer Science / Engineering, preferably with a relevant postgraduate qualification for Research Fellow. Proficiency with firmware extraction and reverse engineering. Proficiency with penetration testing techniques and tools. Proficiency with software scripting and development work on desktop and / or mobile platforms. Key Competencies Self-directed learner who believes in continuous learning and development. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Proficient in technical writing and presentation. Able to build and maintain good working relationships with people within and external to the university.

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