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Teaching Faculty Position - Machine Learning: Deep Learning and Neural Networks, The Brain of AI
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
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 in Deep Learning (DL) to teach "The Brain of AI," a foundational course designed to build a comprehensive understanding of core Deep Learning (DL) concepts, techniques, and applications. The ideal candidate will provide expert instruction on neural network architectures, backpropagation, activation functions, and optimization algorithms, ensuring students gain practical skills using frameworks such as PyTorch, preparing them for advanced AI studies. Responsibilities include: Delivering high-quality instruction in Deep Learning and related AI subjects. Developing and updating course content, projects, and assessments aligned with current research and industry trends. Providing an engaging and supportive learning environment that fosters conceptual understanding and practical competence. Mentoring and advising students on academic and project work. Collaborating with faculty to continuously enhance curriculum design and teaching effectiveness. 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, Data Science, or a closely related field. Demonstrated expertise in Deep Learning, Neural Networks, and Machine Learning. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). Strong commitment to teaching excellence and student-centered learning. 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
Salary
Competitive
Posted
22 Dec 2025
MOE START Scheme (Overseas PhD Scholarship)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence. In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses. The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Overseas PhD Scholarship aims to attract and encourage outstanding graduates and industry professionals to pursue an academic career at SIT by providing financial support for an overseas PhD, as well as academic guidance and mentorship. The scholarship may be awarded to applicants who have just completed their undergraduate studies; or have completed a Bachelor’s degree or a Master’s programme and/or have worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be considered to join SIT’s faculty as an Assistant Professor. Eligibility and Selection Criteria Singapore citizen Second upper-class honours degree, or equivalent, relevant to the supported fields of study listed below Three years of working experience in the industry preferred (For Health Sciences, at least five years of relevant experience preferred) Strong passion for teaching and research Value of Scholarship The scholarship provides Full tuition and compulsory fees Monthly stipend Overseas maintenance allowance Return economy airfares Conference and fieldwork grants Overseas medical insurance Scholars will also each be assigned a faculty mentor throughout their course of study and have opportunities to participate in faculty development programmes. The scholarship is tenable for a period of five years. Service Commitment 5 years in SIT after completion of PhD studies. Mid-term awardees will have a service commitment of 1 year for every year of sponsorship. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake. Interview by the respective clusters for shortlisted applicants will be conducted throughout the year. Final Interview by the Panel for shortlisted applicants for the 2026 intake will commence in Mid-March to End April 2026. Awards will be finalised by July 2026.
Salary
Competitive
Posted
22 Dec 2025
Research Engineer (Decision-Support Tool Development) - CSC3
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.
Salary
Competitive
Posted
22 Dec 2025
Assistant Management Accountant
King's College London
United Kingdom, London
King's College London
United Kingdom, London
About us: King’s College London is one of the world’s leading universities, committed to delivering excellence in education, research, and service. Our Finance, Procurement and Analytics (FPA) Directorate plays a vital role in supporting these ambitions by providing strong financial leadership, planning, and advice. You’ll join the Finance Business Partnering (Operations) team, a collaborative and high-performing group dedicated to ensuring finance is at the heart of strategic decision-making across King’s. Why Join Us? This is an exciting opportunity to make a real impact in a world-class institution. You’ll work in a supportive team that values curiosity, continuous improvement, and professional development. About the role: We are seeking a proactive and detail-oriented Assistant Management Accountant to provide high-quality financial analysis and reporting that supports operational decision-making. Working closely with Finance Business Partners and stakeholders, you’ll help shape the financial future of King’s by delivering insights that drive performance and efficiency. Hybrid working model: Monday is our anchor day at the Lavington Street office, with 1–2 days per week spent in stakeholder offices to build strong relationships. The remaining time can be worked flexibly, subject to business needs. Adaptability is essential as work patterns may evolve. Key responsibilities include: Supporting budget holders to understand management accounts In-year forecasting of income and expenditure Producing accurate monthly reports and analysis Maintaining staffing establishment records Assisting with budgeting, coding changes, and process improvements About you: We’re looking for someone who combines technical expertise with strong interpersonal skills: Essential Criteria: Part-qualified with a professional accountancy body Advanced Excel skills (including pivot tables) and ability to manipulate large datasets Strong analytical ability to produce meaningful financial insights Experience with accounting systems for processing and reporting Excellent communication skills to explain financial concepts to non-financial stakeholders Methodical, detail-oriented, and confident working under pressure Collaborative, proactive, and adaptable to change Desirable Criteria: Degree-level education or equivalent Experience in Higher Education Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. Please note: shortlisted candidates will be asked to complete an online Excel test before the interview stage. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £39,076 - £41,761 (inclusive of London Weighting) Job ID: 134646 Close Date: 07-Jan-2026 Contact Person: Ese Egbewo Contact Details: ese.egbewo@kcl.ac.uk
Salary
£39,076 - £41,761 (inclusive of London Weighting)
Posted
22 Dec 2025
Assistant Professor, Power Transmission Systems
Aalto University
Finland
Aalto University
Finland
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.
Salary
Competitive
Posted
22 Dec 2025