Pai Chai University

Job Description SCHOOL OF CREATIVE ARTS ACADEMY OF VISUAL ARTS Part-time Lecturer (25260664) The Academy of Visual Arts is the first-of-its-kind local institution in delivering Arts and Technology education, which is looking for Part-time Lecturer(s) to teach the course(s) at undergraduate level in the following areas: Unreal VR technology Digital media and fabrication Creative computation Any other related disciplines The ideal candidate should hold a master’s degree or above in related disciplines, with 3 years of experience in creative industries with aspects of content development, budgeting, licensing, administration, marketing, or audience engagement, preferably with teaching experience at the university level. A good command of English and Chinese, excellent communication skills, and a strong sense of responsibility are required. Duties may also include supervision of students, marking of examination papers, and any other work as assigned by the Programme Director and Director of the Academy. The initial appointment will be offered on a part-time basis commencing Sep 2026. Re-appointment thereafter will be subject to performance review and course availability. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for an interview 8 weeks after submission of the application may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.

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

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2030 Reference no.: 5504 How can we perform table-top experiments to obtain new insights into the foundations of quantum physics? Can we measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear materials? Such questions are the driving force behind our research. You will be part of our team and develop new ideas, technologies and experiments. Your personal sphere of influence: As a university assistant (PraeDoc) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.-Prof. Dr. Philip Walther. The group is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian Cluster of Excellence quantA. The group’s research combines the development of scalable photonic quantum technology for quantum computing and other quantum information applications with the investigation of fundamental quantum science questions.The main activities range from quantum control of single photons using solid-state photon sources, integrated waveguide technology, tailored nonlinear media and detectors based on superconductor technology to interferometric precision measurements of weak gravitational forces. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on the premises, about 300 quantum researchers in Vienna. The Walther Group unites an international team of scientists who are passionate about research in quantum optics, quantum information and quantum technologies. Our 35 researchers, from undergraduate student and PhD candidate to postdoc, are working together on mostly experimental topics in small subgroups. Teamwork is a key factor in our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum communication, quantum foundations as well as the quantum-gravity interface. Your future tasks: Active participation in research, teaching & administration, which means: You are involved in a specific and well-funded research project dedicated to experimental quantum optics in 2D materials. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for research, teaching and administration. You will continuously stay informed about the state of the art in your field. You contribute to outreach by publications, conference presentations and public activities. This is part of your personality: You have completed your Master's degree or Diploma in Physics and written your thesis in the field of quantum optics or nonlinear optics in ultra-thin materials. You have experience with table-top experiments, photonic platforms, optical non-linear processes, quantum optics and ultra-thin 2D materials. You have experience in academic writing. You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. You have excellent command of written and spoken English. What we offer: 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 in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world. Internal further training & coaching: The Vienna Doctoral School as well as the department of human resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10(40h/w, 14x p.a.) increases if we can credit professional experience. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Your scientific curriculum vitae  A letter of motivation  Your bachelor's and master's degrees Title and abstract of your master's thesis Contact details of 2 references If you have any content questions, please contact: Philip Walther philip.walther@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 place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, 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