Kyoto University

Head of Academic Division- Full-Time Position Position Overview The Cordon Bleu Paris Institute is seeking highly qualified and dynamic individuals to play a significant role in overseeing and shaping its strategic academic directions aiming for continued disciplinary excellence and successful student-centred outcomes. The successful candidate will demonstrate proven experience in higher education teaching, academic quality assurance compliance requirements, programme management and development in the areas of Hospitality Management, Gastronomy and Food systems, Food & Beverage experiences. Extending beyond operational management, this role is meant to encompass a potential progression for contributing to institutional governance, policy development and strategic planning of its academic mission. Key roles & Responsibilities In carrying out his or her role, the “Head of Academic Division” is meant to contribute to teaching, ensure academic leadership and mentoring, oversee implementation of best academic administration practices in compliance with quality assurance requirements. Serving as a member of the senior administrative team, expectations withing these domains are as follows: Academic leadership Provide leadership in support of institutional philosophy, principles, and governance and for the deployment of strategic academic initiatives. Provide strategic insight into advances and emerging trends in the areas of Hospitality, Gastronomy & Food systems, Food & Beverage experiences, Food product development and innovation. Optimise differentiation and respect of curricular intentions, teaching goals, learning and assessment objectives, overseeing design and implementation of comprehensive teaching and assessment frameworks. Ensure content breadth, depth, logical progression and coherence within and across programmes. Work closely with the “Head of Management Education and Career Integration” for optimizing applied learning opportunities and programme content alignment with evolving work-place expectations. Administrative Excellence Manage academic resources efficiently reviewing quarterly teaching assignments to ensure effective programme delivery while respecting equity principles. In collaboration with the Institution senior administrative team, review quarterly teaching assessment reports and provide mentoring in support of faculty development and advancing contemporary teaching practices.  Counsel and guide the “Head of student trajectory and academic operations” to enhance student-centered teaching and learning approaches. Optimize alignment between programme descriptions, marketing materials, and actual delivery and enhance academic documentation to improve clarity and effectiveness. Work in close collaborations with the Administrative and Finance Director for academic budget framework (student recruitment targets; planning of programme offering and teaching assignments). Working in close collaboration with the Comité de direction, carry out data analysis and prepare detailed reports with actionable recommendations for optimizing programme delivery and revenue generating initiatives. Navigate effectively between senior academic administration, academic functions, and operational support ensuring transparent communication regarding project status, challenges, and solutions. Academic Quality Assurance Lead the implementation and maintenance of academic quality assurance principles including transparency, equity, trackability, and accountability to ensure compliance with qualification standards. Monitor key performance indicators for academic excellence. Lead and oversee the academic cycle and Academic Council activities according to approved Terms of References. Required Qualifications Education & Experience Master's degree (PhD preferred) in the areas of “Gastronomy”, “Food Product Development”, “Food Sciences”, “Hospitality Management”, “Food & Beverage Management” or equivalent. Minimum 5+ years regular teaching responsibilities (including in higher education). Leadership & Management Skills Experience in academic affairs management/coordination experience in programme management, student affairs or academic operations management. Proven leadership ability with experience managing academic teams and working effectively with senior management. Track record of successful project management and delivery. Technical Skills & Competencies Experience with academic quality assurance processes including academic documentation, accreditation processes and compliance requirements. Experience in programme mapping, assessment design and data analysis across all levels of academic programmes and training. Proficiency in the use of educational technology and learning management systems and evolving best practices. Essential Personnal and Professional Attributes Language proficiency: Excellent written and verbal communication skills in English; Minimum of Intermediate verbal proficiency in French language (professional working level). Willingness to relocate to Paris. France for full-time on-site presence. Rigorous Standards: Unwavering commitment to academic excellence and process adherence. Integrity & Transparency: Commitment to honest communication about capabilities, challenges, and progress. Adaptability: Willingness to learn and improve based on feedback and changing requirements. Collaborative Leadership: Ability to work effectively across departments and with diverse stakeholders. Capacity to accept and implement senior management decisions constructively. An understanding of the European competency certification framework and of French education system and regulatory bodies will be an asset. Compensation & Benefits Competitive salary: Commensurate with experience, plus comprehensive benefits package including professional development. Application, required documents and selection process: Required documents are: Cover letter outlining career expectations and relevant experience. Comprehensive CV/Resume. Three professional references. Teaching evaluations or portfolio (if available). Application Deadline: 20th May 2026 Start Date: 1st September 2026 or earlier. The selection process includes the following: Initial application review and selection of a short list of candidates. Video or in-person interview with hiring committee of short-listed candidates. Triage for selection of final short list of candidates of interest. Second task-oriented interview with senior institutional management. LCB is an equal opportunity employer committed to diversity and inclusion in education. We encourage applications from qualified candidates of all backgrounds.

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an  University Assitant (praedoc) - Completion Contract 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2026 Reference no.: 5544 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors and co-supervisors who pursue basic as well as applied research within an intensive doctoral teaching programme tailored to the scientific needs of students in small topical groups. The Doctoral School Computer Science provides the option of performance-based contract extensions to doctoral students who previously had a position as university assistant (prae doc) or as third-party funded researcher (prae doc) at the University of Vienna. This completion contract is meant to support a high-qualified DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science. The group’s research focuses on data mining - particularly clustering and representation learning - graph mining, and probabilistic machine learning. We place great emphasis on a relaxed, collaborative environment and a collegial atmosphere. Social interaction is a top priority for us and contributes to active scientific dialogue and a positive work environment. Learn more about us at https://dm.cs.univie.ac.at/ Your future tasks: You will actively participate in research, teaching, and administration. This includes, among other things: Your primary responsibility is to complete and submit your dissertation. You will develop new methods in data mining and machine learning, particularly in the areas of clustering representation learning graph mining anomaly detection You will contribute to research projects and scientific studies in the above-mentioned areas. You will independently teach courses in accordance with the provisions of the collective bargaining agreement or assist in doing so. You will publish internationally and give presentations. You will contribute to the organization of meetings, conferences, and symposia. You will participate in faculty, teaching, and research administration.  This is part of your personality: Required Qualifications: You hold a degree in Computer Science or Computer Engineering (Diplom, Master’s, or Magister degree), and a solid foundation in computer science is required. You are currently enrolled in a doctoral program (Computer Science or Business Informatics) at the University of Vienna and are a member of the Doctoral School of Computer Science. You have demonstrated outstanding academic performance (e.g., FÖP within one year, annual submission of progress reports, exceptional publication record). You possess a high degree of motivation and commitment to successfully complete your doctoral studies within the intended timeframe. You have proven expertise in one or more of the following areas: Clustering Representation Learning Graph Mining Anomaly Detection You possess teaching skills and experience with e-learning. You have excellent written and spoken English skills (at least C1 level). (The language of communication within the team is English!) Desirable qualifications: You have publications in leading journals in the field, e.g., ICCV, KDD, ICDM, WWW You are a team player with strong social and communication skills. You work independently and reliably. You have knowledge of university processes and structures. You have international experience You have teaching experience What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Resume Cover letter outlining your ideas for a potential doctoral project Abstract of your master’s thesis Degree certificates and transcripts with grades from your bachelor’s and master’s programs List of publications, proof of teaching experience (if applicable) If you have any questions, please contact: Claudia Plant claudia.plant@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 04/25/2026 Prae Doc

Ref.: 534962 Work type: Fractional / Part-time Department: Faculty of Dentistry (08000) Categories: Teaching Staff Applications are invited for appointment as Fractional Senior Clinical Practitioner in Cariology of the Faculty of Dentistry (Ref.: 534962), to commence as soon as possible on a fixed-term (50% fractional) basis for two years, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants must possess a dental or medical (Bachelor’s) degree or equivalent and a Fellowship by examination (or by formal assessment) or Board Certification in General Dentistry by examination, or clinical specialist status or equivalent. Their clinical expertise should enjoy regional acclaim as evidenced by extensive clinical or teaching experience, regional clinical publications/presentations, and regional recognition of clinical excellence in the comprehensive treatment of dental patients and preferably a higher qualification in Conservative Dentistry, General Dental Practice or Family Dentistry. The appointee will supervise clinical teaching of undergraduate students in the nominated Discipline (including Comprehensive Dental Care), provide clinical service, and assist in managing students’ families of patients. Those with clinical specialist status or equivalent may also provide clinical training to postgraduate students, depending on the nominated Discipline. Enquiries about the duties of the post should be sent to Professor E.H.N. Pow at ehnpow@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed term will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable. The successful candidate is required to obtain a valid registration with the Dental Council of Hong Kong. (Note: Applicants who do not hold a local dental license must fulfil the essential requirements under the laws of a jurisdiction outside Hong Kong, China, in order to be eligible for Limited Registration. For details, please refer to the Dental Council of Hong Kong’s website at https://www.dchk.org.hk/en/registration/part_III.html.) The University only accepts online applications for the above post. Applicants should apply online at the University’s career site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from April 30, 2026 and continue until May 16, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency