Technische Hochschule Georg Agricola

Join the CoSTAR National Lab’s audio team to pioneer generative AI within interactive and immersive technologies in CVSSP at the University of Surrey, a global community dedicated to life-changing education and research. The role This post investigates generative AI for sound design in content production, contributing both academic publications and practical demonstrations of immersive/interactive technology with CoSTAR. It is initially fixed-term upto May 2028 (extensible subject to funding).  The role is based at the Centre for Vision, Speech and Signal Processing (CVSSP, University of Surrey), which researches machine perception for the benefit of society through technological innovations in healthcare, security, entertainment and robotics. CVSSP is internationally renowned and ranked first in UK research for computer vision and audio-visual AI, enabling award-winning technologies for content production in TV, film, games and immersive entertainment. In 2021, CVSSP founded Surrey’s Institute for People-centred Artificial Intelligence (PAI). PAI drives AI activities for the CoSTAR National Lab for R&D in Creative Technology, led by Royal Holloway (University of London), a £51m investment by UK Government to give the UK's screen and performance industries globally competitive infrastructure. Investigating future AI-enabled storytelling experiences, we can leverage Surrey’s track record of translating fundamental machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production of immersive and interactive experiences. We expect scientific contributions and creative-industry impact from the successful applicant, who should be qualified to PhD level in a technical subject, with relevant experience: Expertise in machine learning for audio, including speech, music and ambient sound generation Research publications in relevant areas, i.e., generative AI, speech/audio signal processing, machine listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines Strong programming skills, Python frameworks for ML and real-time audio software Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines Experimental systems development, e.g., integrating interactive/game-engine/real-time audio systems, spatial audio toolkits/middleware Useful background includes sound design, music technology, expressive speech, HCI, perceptual/psychoacoustics, user studies, interdisciplinary collaboration, project coordination, and engagement with creative or industry practice. What we offer We offer generous remuneration, including relocation assistance where appropriate, an excellent research environment, well-equipped laboratories, state-of-the-art computing and staff development opportunities. The University resides in one of England’s safest counties, nestled by the Surrey Hills, an Area of Outstanding Natural Beauty, yet only 35 minutes by train from central London, a global city. Our culture of world-class research and enterprise empowers people to achieve real change.  How to apply Informal email enquiries are welcomed to Professor Philip Jackson (p.jackson@surrey.ac.uk) or Professor Enzo De Sena (e.desena@surrey.ac.uk). To apply, please upload your CV and cover letter via our website. Interviews are expected w/c 16th February. The University of Surrey is committed to providing an inclusive environment offering equal opportunities for all. We place great value on diversity within our community: we strongly encourage applicants from any under-represented demographic. Further details Job Description

Ref.: 533957 Work type: Full-time Department: Department of Social Work and Social Administration (30300) Categories: Teaching Staff Applications are invited for appointment as Assistant Lecturer in the Department of Social Work and Social Administration (Ref.: 533957), to commence as soon as possible thereafter, on a two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. The Assistant Lecturer should possess a Master degree in Social Sciences or a related discipline. He/she will assist the Curriculum Coordinator in coordinating program activities, conducting organizational analysis, and assessing training needs. The role also involves liaising with stakeholders, assisting in the delivery of training and coaching activities (which may include taking up part of the teaching duties), collecting and analyzing feedback from training and consultation sessions to inform ongoing improvements, and supporting implementation of the program. He/she may also contribute to the development of curriculum and teaching materials, evaluation efforts, etc. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will come with a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until February 6, 2026, or until the post is filled, whichever is earlier.

Description NYUAD HEP Phenomenology group invites applications to a post-doctoral associate position. Candidates with expertise in the following areas are encouraged to apply: Particle physics phenomenology related to neutrino physics, Higgs physics, BSM, cosmology and astroparticle physics. The successful candidate is expected to take a leading role in the research projects in particle physics phenomenology particular in relation to Higgs, neutrino and BSM physics, and help in supervising PhD students. The appointment would be for two years with the possibility of an additional year. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in theoretical high energy physics or related field. Applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Nicolás Bernal nicolas.bernal@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.