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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.

Reuben College, Oxford, invites applications for the position of President, to succeed Professor Lord Lionel Tarassenko, who will step down as the College’s founding Head in September 2027. Founded in 2019 as the University of Oxford’s newest college, Reuben College is a distinctive graduate-only institution dedicated to graduate study and interdisciplinary research addressing twenty-first-century global challenges. With a strong emphasis on innovation, public engagement and entrepreneurship, Reuben has established itself as a forward-looking scholarly community and is now entering a pivotal next phase of development as it transitions from start-up to full independence. The President is the head and chief ambassador for the College, providing intellectual and strategic leadership, chairing the Governing Body, and representing Reuben across the University of Oxford and beyond. The President will be a regular, active presence within the College, engaging closely with Fellows, staff and students, and will promote a culture of intellectual excellence, curiosity and interdisciplinarity while supporting the wellbeing, academic success and personal development of graduate students. This is a rare opportunity to shape the long-term identity, culture and direction of a young and ambitious college, guiding it towards maturity, academic distinction and financial sustainability, including the securing of a Royal Charter. The successful candidate will be a highly respected leader with intellectual credibility, strategic vision and inclusive leadership skills. They will bring a strong track record of organisational leadership, relationship-building and fundraising, and the ability to inspire confidence across a diverse academic community. Candidates may come from academia, public service, industry or another relevant field, and will demonstrate a deep commitment to interdisciplinary collaboration, academic freedom and the public value of research. The role requires a significant presence in Oxford, particularly during University terms, with regular evening and weekend commitments. The appointment will be made for an initial term of five years, renewable by mutual agreement, with a competitive remuneration package. Saxton Bampfylde Ltd is acting as employment agency advisor to Reuben College, Oxford on this appointment. For further information about the role and details of how to apply, please visit www.saxbam.com/appointments using reference IPEAJ. Alternatively email Belinda.beck@saxbam.com. The closing date for applications is noon on Monday 30 March 2026.

Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type: Permanent Salary: Professorial: Competitive open band commencing from £76,345 per annum. Reader: Full time starting salary is normally in the range of £60,099 to £69,505 per annum, with potential progression up to £85,000per annum. Apply by: 31/03/2026 Role Description About the Role The Faculty of Engineering and Applied Sciences is seeking to appoint within the Centre of Assured and Connected Autonomy, a Saab sponsored Professor / Reader in Autonomous Air Transport Systems of international standing. The position will take up a leadership role in the faculty by bringing together research in autonomous air transport systems. Saab UK is a British company that is part of Saab Group’s global high-technology operations. Saab offers world-leading solutions and services in defence, aviation, space and civil security. Saab UK brings together the best of Swedish and British innovation and engineering to provide customers with products and solutions that push boundaries for what is considered technically possible. Saab’s mission is to help our customers to keep people and society safe. Saab’s partnerships with UK customers and industry enable the delivery of innovative solutions to complex challenges, anticipating the threats of tomorrow. Saab invest 23% of annual revenue into research and development, collaborating with a range of partners including industry and academia. Specialisations within the UK include software engineering, autonomy, radar and sensing, underwater robotics, AI, and training. This role will work closely with Saab UK to help advance technology in areas such as autonomy, air systems, air traffic management, uncrewed systems, and sensors. About You To be considered for this opportunity you will hold a PhD in a relevant discipline and have an internationally recognised track record in the field of Autonomous Air Transport Systems. This will be evidenced by high quality publications, and competitive research funding or senior level industry experience. You will have demonstrated experience in being able to negotiate, plan, develop and successfully implement strategic large-scale projects and win national and international research funding. Due to the nature of this role, you will be required to obtain Security clearance (or eligibility) in line with UK Ministry of Defence (MoD) requirements. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. The Centre has a long history of internationally leading research in uncrewed platform research (swarm drones, human-machine teaming) with major collaborations with aerospace and defence primes. It has key laboratories in drone platform experimentation, human-machine cockpit and mission command teaming, 6th Generation Open Radio Access Network national testbed, as well as an uncrewed air traffic management lab. It has 10+ academic staff members and approximately 15 research fellows, running several EPSRC and EU projects. It also hosts 3 MSc courses: 1. Applied AI, 2. Autonomous Vehicle Dynamics & Control, and 3. Advanced Air Mobility Systems. These are supported by strong industrial partnerships and civil government stakeholders. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme.We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. Working Arrangements Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners. How to apply                                    For an informal discussion about this opportunity, please contact Professor Weisi Guo, Head of the Centre of Assured and Connected Autonomy, on (T): +44 1234 758304 or (E): weisi.guo@cranfield.ac.uk Please do not hesitate to contact us for further details on E: peoplerecruitment@cranfield.ac.uk. Please quote reference number 5220. Please note that we reserve the right to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.