De La Salle - Lipa

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 focusing on essential principles of effective teamwork, leadership, communication, and conflict resolution, with a special emphasis on the role of Human-Centered AI in enhancing these processes. The course examines the role of AI in enhancing team dynamics, decision-making, and leadership processes, including the use of AI tools for team management, performance analysis, and problem-solving. Practical case studies and interactive activities will prepare students for leadership in a technology-driven world. Responsibilities include: Delivering high-quality instruction in teamwork, leadership, and human-centered AI applications. Developing and maintaining course content, case studies, and interactive learning materials aligned with course objectives. Fostering an inclusive and engaging classroom environment that supports experiential learning and collaboration. Mentoring and advising students in developing leadership and interpersonal competencies. Collaborating with colleagues to integrate human-centered and ethical perspectives across 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 Business Administration, Organizational Leadership, Management, Industrial-Organizational Psychology, or a related discipline. Demonstrated expertise in leadership development, teamwork, or human factors in technology settings. Familiarity with AI applications in organizational management or decision support systems is advantageous. Strong commitment to teaching excellence, active learning, and 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

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Electrical Engineering is now looking for an Assistant Professor, Power transmission systems The position is to be filled at assistant level of the Aalto University tenure track system (Assistant, Associate or Full Professor). The position is full-time and fixed term. Advancement on the Aalto tenure track is based on an evaluation of achievements and merits according to Aalto’s tenure track criteria, please see the details here. You will join the Department of Electrical Engineering and Automation (EEA) at Aalto University’s School of Electrical Engineering. At EEA, scientists and engineers from different fields interact and work together by crossing over traditional boundaries to solve the most challenging scientific and technological problems, to provide excellent education and to produce wellbeing for the society. Research at EEA is organized in three focus areas: 1) Electrical power systems and energy conversion, 2) Control, robotics and autonomous systems, and 3) Electronic and digital systems. Because of the interdisciplinary nature, EEA partner network covers a large share of Finnish and international industries starting from the energy sector to manufacturing industries, including many machinery production companies, medical sector, cities and public organizations, and service providers. There have been several spin-off companies utilizing the research results. Your role and our expectations The position focuses on power transmission systems and analysis of their future characteristics, technical performance as well as system security. It considers the requirements set by wind and solar power, and new types of loads such as hydrogen production to power transmission systems. As a tenure-track faculty member, you are expected to complement the expertise of the current faculty by bringing new ideas and perspectives into our community. You are also expected to teach courses primarily in the field of power transmission systems, with a typical teaching load of two courses per year. The selected candidate is expected to collaborate with Finnish and Nordic industry and therefore we value the practical experience with Nordic power transmission system. We expect the candidate to have: Capability and motivation to teach at undergraduate and/or graduate levels in the field of power transmission systems A proven ability and passion to carry out high-quality research and publish in top venues of the discipline Capability to attract research funding and build up your own research group Existing international collaboration network or ability to build one A doctoral degree in the field of power transmission systems is required for this position. In addition, the candidate should have experience in several of the following topics: Reliable operation and system security of power transmission systems Power system stability and technical performance Situational awareness and power system monitoring What we offer Starting funding and grant writing support to help you establish your own team  Excellent multidisciplinary collaboration possibilities within the university A well-resourced learning community with highly motivated students A friendly and diverse community which genuinely respects diversity and equality A competitive salary determined by applicant's experience and qualifications and based on the Aalto University salary system. Aalto University provides its employees with free occupational health care services. Great future in one of the happiest, cleanest, and safest countries in the world For more information about living and working in Finland, please see: https://www.aalto.fi/en/careers-at-aalto/for-international-staff and https://www.aalto.fi/en/careers-at-aalto/living-in-finland. The activities of the department are located in the Otaniemi campus of Aalto University in Espoo, Helsinki metropolitan area. Have a virtual tour at https://virtualtour.aalto.fi/. Ready to apply? If you want to join our community, please submit your application no later than February 1, 2026, through our recruitment system by using the “Apply now!” link. Please include the following application documents in pdf format in English (please note that the maximum size of one document is 5 MB and that the system accepts only 5 attachments, so please combine the documents, if needed): Cover letter Curriculum vitae with your contact information, ResearcherID, and links to your professional profiles, as well as a list of referees, with contact information List of publications, in which the five most significant publications are highlighted and your role in them described Research statement describing past research and plans for future research Teaching statement (max 2 pages, including the following information: 1) your approach to teaching and learning, 2) your teaching experience, 3) your development as a teacher, and 4) your other possible teaching-related merits) Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). Aalto University will use external reviewers to support the evaluation of applicants during the recruitment process. The most suitable applicants will be invited to visit the department for teaching demonstrations and interviews. If you wish to hear more about the position, you can reach out to the chair of the departmental committee, Professor Jorma Kyyrä (jorma.kyyra@aalto.fi). In recruitment process related questions, please contact HR partner Camilla Hanganpää (camilla.hanganpaa@aalto.fi). Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! Aalto People Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

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