Bezmiâlem Vakif University

Position Details Full Time | Continuing Academic Level D | AU$165,810 - $182,419 p.a + 17% super I View Position Description Academic Level E I AU$197,646 p.a + 17% Super I View Position Description Location: Tonsley / Kaurna Country /Australia View Candidate Brochure About the Role: Flinders University’s College of Science and Engineering is seeking a distinguished academic to join the Computing & Mathematical Sciences discipline as an Associate Professor / Professor in Human Computer Interaction & User Experience (HCI/UX). You will provide outstanding leadership in research, curriculum development, supervision, and mentoring, fostering the growth of Early and Middle Career Researchers. The position supports Flinders’ reputation as a centre of excellence nationally and internationally and advances the discipline of Computer Science in HCI/UX. In this position, you will: Deliver high-quality, innovative teaching in HCI/UX using contemporary pedagogy and multi-mode delivery methods, including curriculum development and accreditation. Publish internationally recognised research outputs in HCI/UX and related areas and attract and manage external competitive research grants and contribute to growth in Flinders’ research income. Supervise honours, doctoral, and higher degree research students, contributing to the growth of the PhD cohort. Mentor and develop junior academic colleagues, including collaborative publications and grant submissions. This position is open to interstate and international candidates. Relocation and visa support is available. About You: You are an internationally recognised academic with expertise in Human Computer Interaction and/or User Experience, with a strong track record in teaching, research, and leadership. You will have experience mentoring colleagues and contributing to the advancement of your discipline nationally and internationally. You will also demonstrate: Completion of a PhD, or equivalent qualification, in Computer Science, HCI/UX or a related area. Distinguished and active record of teaching excellence at tertiary level, including leadership in program delivery and curriculum development. Internationally recognised research track record aligned with College strengths, evidenced by high-quality publications and competitive grant success. Strong track record in disciplinary leadership, external professional engagement, and community contribution. About the College of Science and Engineering At the College of Science and Engineering we believe in the power of science and engineering to solve real world problems. Our vision is to provide internationally recognised science and engineering education programs that are accessible, student centred, innovative and impactful. As well as being globally recognised for our research to advance science and engineering by creating new technologies that make our world more connected, secure, healthy, and sustainable. We seek to understand the past, but also to create the world of the future. Our College is an exciting place to research, study, and work, supported by best practice teaching methods, practical work-related learning, and advanced facilities. Why Flinders University? At Flinders University, we embrace and celebrate diversity and are committed to achieving gender equality in employment by identifying and removing any discriminatory employment barriers and taking action to promote gender equality in the workplace. We have been awarded Institutional Bronze Accreditation in the SAGE Athena SWAN program, recognising the University’s ongoing efforts towards achieving gender equity. Ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders?  Ranked in the top 2% of universities worldwide. Ninety per cent of Flinders research has been ranked at ‘world standard or above’ by Excellence in Research for Australia (ERA). 17% Superannuation + salary packaging options  Flexible working arrangements  Wide range of professional development activities, funds and services, such as Flinders University’s Researcher Development and Leadership Programs. Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Prescribed Conditions for Employment A current Nationally Coordinated Criminal History Check which is satisfactory to the University will be required by Flinders University before the successful applicant can commence in this position. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. This position may require the successful applicant to hold (or be eligible to obtain) an NV1 (Negative Vetting Level 1) Security Clearance How to Apply and Information To apply online, please visit the Jobs@Flinders website via the job portal. You will be requested to nominate the position you wish to be considered for:  Associate Professor in Human Computer Interaction and User Experience I View Position Description Professor in Human Computer Interaction and User Experience I View Position Description You are required to submit a CV and a two-page Suitability Statement addressing the key position capabilities of the relevant position description. For more information regarding this position, we strongly encourage you to please contact Associate Professor Carl Mooney Important Notice: Recruitment Activity During University Shutdown Please note that recruitment activity will be paused during the Flinders University shutdown period. No updates or progress on applications will be available between 24 December 2025 and 5 January 2026. Recruitment processes will resume from 5 January 2026, and application statuses will be communicated from that date onward. We appreciate your understanding and patience during this time. Certification Applications to be submitted before 10.00pm: 20 Jan 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.

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.

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 Research Assistant 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 Research Assistant 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 for healthcare; 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; And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field Demonstrable research experience involving data pre-processing and preparation for machine learning models Demonstrable research experience in conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or 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 Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) 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 Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics First-author peer-reviewed published papers (or under review) Evidence of leadership and service activities in the academic domain 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.