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University of Science & Technology - Taiz Branch

Taizz, Yemen
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Post-Doctoral Associate in the Division of Engineering - Dr. Farah Shamout

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, and a transcript, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@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. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. 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/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Salary

Competitive

Posted

26 Dec 2025

Post-Doctoral Associate in the Division of Engineering - Dr. Ahmad Bin Thaneya

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Division of Engineering (Civil and Urban Engineering) in New York University Abu Dhabi seeks to recruit a post-doctoral associate to work on research centering around infrastructure systems and the environment under the supervision of Dr. Ahmad Bin Thaneya. The post-doctoral associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for infrastructure design, management, and policymaking. Investigating the residual sources of PM2.5 exposure from transportation systems following electric vehicle (EV) adoption, including exposure due to emissions from electricity generation for charging EVs, buses, trucks, rail, pavement resurfacing, tire and brake wear, and supply chain effects. Conducting life-cycle uncertainty assessments of building materials, carbon sinks (e.g., carbon dioxide removal options), and alternative low-carbon fuel sources. Candidates should demonstrate a strong theoretical background and proficiency in one or more of the following areas: infrastructure systems modeling, emissions inventory development, air quality modeling (chemical transport models and/or reduced-complexity models), exposure assessment of airborne pollutants, and life-cycle assessment. The post-doctoral associate will be expected to lead research efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python or MATLAB) A strong record of authorship in peer-reviewed academic journals Excellent interpersonal and communication skills to support effective collaboration For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, and two letters of reference, all in PDF format. If you have any questions, please email aab8693@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.

Salary

Competitive

Posted

26 Dec 2025

Senior Professional Officer (Cybersecurity), Centre for Digital Enablement

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Job Purpose At SIT's Professional Officers Division, we bring our rich industry experience and technical skills into our work, creating a better physical environment where learning and innovation take place. We work with teaching programmes and innovation projects to improve the skills of our students and to strengthen & energise our industry and the wider community. A Professional Officer has a combination of job responsibilities relating to the following: participate in and manage innovation projects, manage digital technology related resources, and mentor & facilitate student learning. The Centre for Digital Enablement (CoDE) drives the initiatives to elevate digital competencies for academic staff and students within SIT. It works with various stakeholders, both internal and external, in upskilling digital literacy across the organization through literacy programmes and digital innovation projects in relation to the Digital Learning Spaces (DLS). For this role, you will spearhead the various cybersecurity enablement programmes in SIT, manage the cybersecurity related resources and initiatives within CoDE, and lead cybersecurity projects within SIT and with industry partners to support teaching and learning objectives. You will also be responsible for developing and delivering digital literacy courses to undergraduate students and academic staff as part of the institutional drive to ensure our graduates are ready for a highly digitally-enabled workforce. Additionally, you’ll be required to mentor and facilitate student learning by participating in and managing student projects. Key Responsibilities Cybersecurity Enablement Programmes Develop and own the Cybersecurity Competency Roadmap, providing guidance for SIT undergraduate students and academic staff in developing their cybersecurity competencies. Lead and oversee a range of cybersecurity enablement programmes to facilitate the growth of information security skills among SIT undergraduate students and academic staff. Stay up-to-date with the latest developments in cybersecurity, ensuring the continued relevancy and currency of the enablement programmes and Cybersecurity Competency Roadmap. Cybersecurity Projects Drive the adoption of sound information security practices across all CoDE projects. Collaborate with industry partners, faculty, Professional Officers and other stakeholders to conduct applied research in cybersecurity related technologies. Teaching & Student Mentorship Develop and deliver digital skills literacy related courses or workshops to undergraduate students and staff. This includes development of learning contents and activities, providing consultations on digital skills/technology related queries, and assessment and grading of students’ work. Mentor and facilitate student learning by participating in and managing student projects. Any other matters as directed by Director/Deputy Director of CoDE. Job Requirements A good degree in Computer Science or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. 10+ years of working experience, including at least 5 in cybersecurity related fields. Proven experience in developing and deploying secure enterprise software solutions. Good programming skills in languages such as Python, Java, C++, JavaScript, etc. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Possess strong supervisory and project management skills. Good interpersonal skills and ability to work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. Enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs.

Salary

Competitive

Posted

26 Dec 2025

Payroll Team Leader

UNIVERSITY OF SURREY

University of Surrey

United Kingdom, Guildford

institution

University of Surrey

United Kingdom, Guildford


An opening for a Payroll Team Leader at the University of Surrey, to manage and provide professional advice on payroll matters and issues within the context of university policies, statutory legislation and procedures. Role & Responsibilities Here at the University you will be responsible for the day-to-day management of the Payroll team, ensuring a high level, timely and efficient payroll advisory and operational support service to management, staff and external agencies. Other key responsibilities include: Deliver the payroll service across the University and subsidiaries, in the most cost effective and efficient way whilst meeting the needs of the University, in compliance with University policies, statutory guidance and procedures at all times. Provide specialist advice and guidance on payroll matters, procedures and best practice to senior management and employees. Manage and oversee the payroll team, providing leadership, coaching and development as appropriate, including establishing workloads, prioritising work, monitoring performance and ensuring all deadlines are met in a timely and efficient manner. To be responsible for ensuring that changes in payroll legislation, University policies and conditions of service are interpreted and implemented correctly and in a timely and efficient manner. This includes identifying the impact of changes in payroll legislation and university policies and contributing to the necessary changes to practice and policy at the University, as and when required in a timely and efficient manner. Produce and reconcile all year end data and ensuring all returns are made to the relevant bodies by the statutory deadlines. To work as a subject matter expert on projects alongside, or instead of, the payroll manager for which the specialist nature of this role provides essential and relevant expertise. What’s in it for you? We think Surrey is an amazing place to work, and we are carefully crafting a dynamic, flexible, and fun place to work and thrive. Our campus is a beautiful, leafy environment with carefully designed gardens, vibrant green playing fields, and a picturesque lake. With the buzz of student life and superb working facilities, the University of Surrey is a global community of ideas and people, dedicated to life-changing education and research in an inspiring, innovative and diverse environment. Alongside our gorgeous campus setting, collegiate on-site atmosphere and plentiful development opportunities, we also offer: Competitive Salary Annual Incremental Pay Rise Market leading Pension 25 Days annual leave + 7 University Days + Bank Holidays Travel & Family benefits including subsidised rail fare, cycle to work scheme and on-site childcare Access to on site world-class leisure facilities at discounted rates On-site parking, cafes, restaurants and coffee shops How to Apply For more information or to be considered for the role, please apply via the University of Surrey Website. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Further details Job Description

Salary

£37,694 to £46,049 per annum

Posted

25 Dec 2025

Non-Tenure Track Clinical Assistant Professor in Internal Medicine

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 533899 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Professoriate Staff Applications are invited for appointment as Non-Tenure Track Clinical Assistant Professor in Internal Medicine in the Department of Medicine, School of Clinical Medicine (Ref.: 533899), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a medical qualification registrable with the Medical Council of Hong Kong, and a higher professional qualification of Specialty Fellowship of the relevant Hong Kong College under the Hong Kong Academy of Medicine or equivalent. They should have demonstrated accomplishment in teaching of medical undergraduates, and organization and development of undergraduate and postgraduate programmes. Those with an established research record, substantial achievements in research publications and a track record of successful grant applications would have an advantage. They should also have extensive experience in managing patients with acute and chronic medical problems in internal medicine. The appointee is expected to supervise junior doctors; deliver clinical service and patient care at the University’s teaching hospitals; participate in the planning and delivery of undergraduate and postgraduate programmes; conduct research; and contribute to administrative duties in the Department, Hospitals and Faculty. Direct communication with patients is required and the languages employed are English, Cantonese and Putonghua. Information about the Department can be obtained at https://medic.hku.hk/. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V., and at least 3 reference letters. Review of applications will start from January 7, 2026 and continue until March 23, 2026, or until the post is filled, whichever is earlier.

Salary

Competitive Salary

Posted

26 Dec 2025