Abu Dhabi Polytechnic

The School of Engineering and Digital Sciences of Nazarbayev University is inviting outstanding candidate for an Assistant or Associate Professor in Mechanical Engineering Design within the Department of Mechanical and Aerospace Engineering. The high demand from industry for our graduates has resulted in a substantial increase in the number of students enrolled in MAE programs. The department continues to grow and has developed a robust collaboration with the industry. An ideal candidate will deliver teaching and research related to the broad area of mechanical engineering design areas such as mechanical systems design, computer-aided engineering (CAE), design optimisation, computational and applied mechanics, and parametric geometrical modelling. The successful candidate will: Lead high-impact research in engineering design supported by research funding from industry and government. Develop strong industrial collaboration in mechanical engineering design. Teach undergraduate and postgraduate courses in mechanical engineering and engineering design. Supervise undergraduate and graduate students (MSc/PhD). Mentor early-career researchers to foster scholarly development and research productivity. Build cross-disciplinary research initiatives within the university and international. Contribute to departmental and university initiatives, participate in academic committees, and build partnerships with industry and academic institutions. Qualifications & Expertise PhD in Mechanical Engineering or a closely related discipline from a reputable university. A minimum of three (3) years of academic experience after the PhD. Outstanding applicants with exceptional research and academic records along with more years of experience may be considered for appointment at the Associate Professor level. Proven a sustained and successful track record of research excellence demonstrated by publications in internationally recognised top-tier (Q1) journals and attracting research funding. Experience supervising postgraduate researchers and leading externally funded research projects. Experience with FEA/CAE tools (ANSYS, Abaqus, COMSOL). Knowledge of GD&T, engineering drawings, and industry standards. Evidence of innovative teaching and curriculum development. Professional membership (e.g., IMechE, ASME, FHEA, SFHEA) is highly desirable. Excellent communication skills and English fluency are required. Additional information What we offer: Competitive salary and 2-course teaching load per semester Generous research time Research seed grants and other competitive research funding opportunities International health insurance for the appointee and dependents Expatriate benefits (rent-free housing, home travel (two per annum), assistance for relocation expenses including air fares for the appointee and dependents) Paid home leave of 56 days per annum. Initial appointment is on a 3-year renewable contract and subsequent appointments can be 5-year/3-year renewable subject to annual performance reviews. For informal discussion about the role, please contact Professor Essam Shehab, Head of Mechanical and Aerospace Department, email: essam.shehab@nu.edu.kz More details about Mechanical and Aerospace Engineering department can be found at: https://research.nu.edu.kz/en/organisations/department-of-mechanical-and-aerospace-engineering/ Deadline: Open until filled. Applications will be reviewed commencing 10 April 2026. Applications require completion of the online application form via the provided link, accompanied by a cover letter, CV and the contact details of three referees. Incomplete applications will not be considered for review.

Based in the School of Nursing and Midwifery at the Adelaide City Campus Several casual opportunities available At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters The Technical Assistant (Casual) provides operational and technical support to ensure the effective day-to-day functioning of simulation teaching and learning environments within the School of Nursing and Midwifery. Operating under general supervision and established procedures, the role contributes to the preparation, maintenance and pack-down of simulation facilities, equipment and learning resources. The position supports the delivery of high-quality teaching activities through the application of technical skills, attention to detail and a strong service orientation. Visit the AU website to learn more about the School of Nursing and Midwifery.  Core responsibilities Operational Support for Teaching Activities Simulation Resource Preparation Equipment and Technology Support Stores and Inventory Control Team Contribution and Service Delivery Compliant with Health and Safety guidelines Experience Demonstrated ability to work effectively within a structured, service-oriented team environment Proven capacity to complete operational tasks accurately and within required timeframes Demonstrated technical aptitude and confidence operating equipment and associated technologies Sound problem-solving skills within established procedures Proficiency in Microsoft Office applications Eligibility requirements Completion of: A relevant trades certificate or Certificate III; or Year 12 or Certificate II with relevant work experience; or An equivalent combination of relevant experience and/or education/training Effective written and verbal communication skills Desirable qualities Knowledge of clinical equipment and healthcare consumables Experience supporting simulation-based education or similar technical environments Experience in roles requiring manual dexterity and technical precision Special requirements Availability to work flexible hours, including weekends Capacity to undertake manual handling and physically active duties as required Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us why you’re excited about the role  Submit your application by 11:30pm Wednesday 18 March 2026  For further information about this opportunity, please contact Hellen McIver via email Dean.SNM@adelaide.edu.au Please note – By registering on the Casual/Sessional Staff Register, it does not guarantee that employment will be offered If you already hold a casual contract with Adelaide University, please complete the application form to be considered for future opportunities. Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

The Vietnamese-German University (VGU) is seeking up to two highly qualified full-time lecturers in Deep Learning and Generative AI. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is an advantage. The successful candidate(s) will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate(s) will teach undergraduate courses in the Computer Science (CSE) program and possibly a sibling program dedicated to Artificial Intelligence (AI), as well as graduate courses in the Computer Science (MCS) program. The expected workload for the in-class lecture conduct is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on two to four modules from the following areas: Data Structures & Algorithms for Machine Learning Mathematics for Machine Learning Machine Learning Foundation Machine Learning Techniques Computer Vision Deep Machine Learning Natural Language Processing Artificial Intelligence Generative AI Compulsory elective modules Computing Theory The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring Ph.D. students. Research Responsibilities As a faculty member of a research-oriented university, the successful candidate(s) is expected to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of deep learning, generative AI (including generative models and neural network architectures), and data augmentation (e.g., audio-signal processing, adversarial training, computer vision). The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the Computer Science program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a Ph.D. in Artificial Intelligence, Computer Science, Information Systems or a closely related field, preferably from a well-known international university. Those in the final stages of their doctoral studies may be considered, provided they demonstrate exceptional promise. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on data augmentation & engineering, advanced deep learning, reinforced learning, multimodal learning, federated learning or other areas closely related to it Proven expertise in techniques for noise detection, MLOps, agentic workflows, data pruning, and retrieval-augmented generation Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area Proven teaching experience with strong self-motivation combined with a passion for teaching and research Experience in industry is an advantage Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1] Employment benefits The successful candidate will integrate himself/herself into an initiative on AI research and several interdisciplinary research groups at VGU. He/she enjoys access to state-of-the-art laboratories. VGU is currently acquiring powerful AI servers, workstations and data storage to enable long-term research. VGU provides institutional research grants of up to 350 million VND per project and offers financial support for faculty to attend national and international conferences and publish their research. VGU's partnerships with German universities provide lecturers with funding opportunities for research and academic exchange. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Deep Learning and Generative AI_[Your Name]" Your application should include: Form for basic information (Please download here, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if available, highly appreciated) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Program Academic Director at rschorr@fb2.fra-uas.de and/or Program Academic Coordinator at son.ll@vgu.edu.vn About us The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.