Tokyo City University

Description NYUAD Experimental High Energy Physics group is searching for a post-doctoral associate to join the planned group's efforts to be involved in the ATLAS experiment as part of the UAE-ATLAS cluster, composed of three UAE institutions. Candidates must demonstrate experience in experimental high energy physics. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing model is preferred. The selected candidate will work in the ATLAS experiment at the Large Hadron Collider. The appointment will be for two years, with the possibility for renewal, subject to mutual agreement. 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 experimental high energy physics or related field. Applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, three letters of reference, all in PDF format. If you have any questions, please email Dr. Marta Losada marta.losada@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 Employee UAE Nationals are encouraged to apply.

Job Purpose 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 conduct applied AI research in visual generation models, agentic AI, focusing on applications in creative content generation.  Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct applied AI research in visual generation models, agentic AI. Collaborate with industry partners to develop AI solutions to address real-world problems. Develop and maintain research prototypes and software. Publish impactful research findings and present work for knowledge sharing. Work independently, as well as within a team, to ensure high-quality delivery.  Job Requirements Have relevant competence in the areas of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore the core principles behind generative models, including advanced transformer architectures, diffusion models, and autoregressive techniques, as well as their applications in natural language processing, computer vision, and beyond. The course emphasizes hands-on learning, enabling students to understand and implement state-of-the-art methods while critically evaluating their ethical implications and limitations. Responsibilities include: Delivering high-quality instruction in Generative AI, Foundation Models, and related AI techniques. Developing and maintaining course content, exercises, and hands-on projects aligned with the latest research and industry practices. Fostering an interactive, student-centered learning environment that emphasizes experimentation, problem-solving, and critical evaluation. Mentoring and advising students in course projects and applied AI research. Collaborating with colleagues to integrate ethical and methodological perspectives into AI curricula. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Demonstrated expertise in Generative AI, Foundation Models, or related areas of machine learning. Experience with modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) and practical implementation of generative models. Strong commitment to teaching excellence and fostering student engagement. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI