Girne American University

1 x Full time, ongoing position available to join the School of Computing Technologies, Discipline of Data Science and Artificial Intelligence Salary Academic Level B ($115,303 - $136,925) or Level C ($141,247 - $162,872 ) + 17% Super Based at the City campus, but may be required to travel to other University campuses About the Role The School is seeking a Lecturer or Senior Lecturer to contribute to teaching, research, and professional engagement. You will deliver high-quality programs across undergraduate and postgraduate levels, coordinate courses, and collaborate with colleagues, the University, and external partners. The role involves leading and participating in impactful research, with Senior Lecturers expected to provide research leadership, attract funding, and embed expertise into the School's activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and predictive modelling in biomedical, clinical, or bioinformatics contexts. A strong Computer Science foundation with experience or interest in biomedical applications and improving human health is essential. Key areas include: AI in Medicine & Digital Health Computational Medicine / Biology Advanced Bioinformatics & Digital Phenotyping Drug Repositioning / Multi-modal Data Integration Knowledge-based Biomedical Data Analysis This is an exciting opportunity to contribute to teaching excellence, research leadership, and advancing Digital Health and AI in Medicine. About You To be successful for this position, you will have: Experience coordinating and delivering undergraduate and postgraduate programs in Computer Science, Software Engineering, IT, Cyber Security, AI, or Data Science, including high-quality curriculum and innovative, student-centred approaches. Ability to manage large programs or multiple smaller programs and undertake course coordination roles. Ability to support and engage effectively with students to enhance learning outcomes. Emerging or established research track record with publications in high-quality outlets. Experience in research leadership, including building collaborative teams, mentoring staff, attracting funding, and managing complex research projects. Experience supervising higher degree by research candidates. Ability to manage academic teams and support the development of less experienced staff. Understanding of and commitment to financial, governance, and quality management in a university setting. Strong interpersonal, communication, and negotiation skills for engaging with staff, students, industry, and senior executives. Ability to build networks and collaborations across academia, industry, and government to support research and funding initiatives. Qualifications Mandatory: PhD or equivalent in relevant field. Note: Appointment to this position is subject to passing a Working with Children Check and other checks as required by the specific role. Maintaining a valid Working With Children Check is a condition of employment at RMIT. To Apply Please submit your CV and cover letter and separately address the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. For further information, please contact hiring manager Professor Jeffrey Chan, Associate Dean, Data Science & Artificial Intelligence at jeffrey.chan@rmit.edu.au or any recruitment related questions can be director to Senior Advisor, Aleks Besia at Aleksandra.besia@rmit.edu.au Position Description - Lecturer, Level B Position Description - Senior Lecturer, Level C Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements Applications close on Monday, 11th of May 2026. About RMIT University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings Bring Your Whole Self to Work We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. We are a Circle Back Initiative Employer - we commit to respond to every applicant.

Description The Center for Translational Medical Devices (CENTMED) at New York University Abu Dhabi (NYUAD) seeks to recruit a postdoctoral research associate to join this new initiative focusing on designing and developing novel medical devices for ultimate human use. CENTMED oversees a variety of exciting projects developing new treatments and diagnostics for cardiovascular, neurologic, and metabolic diseases. The successful applicant will join a number of fascinating projects on engineering novel approaches to modulate physiology and neural activity in the brain, gastrointestinal (GI) tract, and other peripheral organs. These projects have a high potential for translation towards treating a variety of neurologic and metabolic disorders. These approaches entail device design and manufacturing, drug conjugation, neuroscience, and preclinical model experiments. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate students, and full-time researchers. They will also have the chance to contribute to other projects within CENTMED, working on cutting-edge initiatives spanning metabolic, cardiovascular, and neurologic diseases. This position offers an exciting opportunity to make a meaningful impact on next-generation surgical technologies, bridging the gap between engineering innovation and clinical application. Applicants must have a PhD in an engineering or biomedical-related field. Excellent experimental skills relevant to the project (in particular device design and fabrication, drug conjugation, and in vitro and in vivo experimentation) are required. Proficiency in English is required. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Khalil Ramadi at kramadi@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/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply

Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs) for Predictive Maintenance: Introduction UM6P Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. Context We are seeking a highly motivated and skilled postdoctoral researcher with a strong background in Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive maintenance systems using AI tools. Key Responsibilities: Conduct innovative research on the application of Large Language Models (LLMs) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high-impact research in top-tier conferences and journals at the intersection of AI, NLP, and industrial applications. Contribute to the development of scalable and interpretable AI tools for real-world deployment. Qualifications: A PhD in Computer Science, Machine Learning, NLP, or a related field, with a thesis focused on AI, particularly LLMs. Strong publication record in top AI/ML/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer architectures, attention mechanisms, and fine tuning techniques for LLMs. Experience with time-series data, anomaly detection, or predictive maintenance is a strong plus. Familiarity with industrial datasets and domain-specific challenges is desirable. Excellent problem-solving skills and the ability to work both independently and collaboratively in a team environment. How to Apply: Interested candidates should submit the following documents: A cover letter detailing your research interests and how they align with the application of LLMs to predictive maintenance. A current CV, including a list of publications. Contact information for at least three references. A brief research statement (max 2 pages) outlining your past research and future research directions, particularly as they relate to LLMs