University of Findlay

Department: Central European Institute of Technology Deadline: 31 May 2026 Start date: 2027-2028 Job type: full-time Job field: Science and research INDUSTRIAL CHAIR / RESEARCH GROUP LEADER IN LIFE SCIENCES  Central European Institute of Technology of the Masaryk University (CEITEC MU), Brno, Czech Republic CEITEC MU is the Czech Republic´s flagship institution, renowned for its biomedical research and cutting-edge core facilities. CEITEC MU aims to strengthen its collaboration with industry and the application sphere, and is therefore seeking outstanding candidates in applied research. About this position We invite outstanding researchers currently based outside the Czech Republic to establish a research group at CEITEC MU with the support of the TAČR Industrial Chair call. If your expertise aligns with CEITEC MU’s strategic priorities and research areas, and you bring a strong scientific vision combined with a proven track record of collaboration with industry, we would be delighted to hear from you. The establishment of the research group at CEITEC MU is contingent upon obtaining support from the TAČR Industrial Chair programme. If the proposal is awarded, we will offer you a Research Group Leader position at CEITEC MU. In this role, you will: Build and lead a team of researchers working at the intersection of AI and biomedical sciences. Develop novel AI methodologies enabling next-generation analysis of complex biological systems. Collaborate with core facilities and international partners to co-develop AI-enabled research workflow and instrumentation. Work closely with leading industry partners in the region to translate AI-driven research into real-world applications. Actively pursue and secure external funding to support the development of the group and its research activities We are looking for candidates who meet the following mandatory criteria: At least 5 years of ongoing research experience outside the Czech Republic at the time of application. No current or previous affiliation with Masaryk University. In addition, candidates should be able to demonstrate: A track record in AI research with applications in life sciences. Proven experience in applied research and collaboration with industry. The ability to identify impactful research challenges at the interface of AI and life sciences. The capacity to conduct independent research using advanced computational and data-driven methodologies. Excellent interpersonal skills and leadership abilities, including the capacity to supervise early-stage researchers and mentor others. The ability to communicate effectively with the scientific community, industry partners, and the broader public about AI applications in life sciences and their societal impact. What else do you need to know: Application Deadline: 31.5.2026 Assessment of Applications: on an ongoing basis Expected Start: 2027-2028 Applications including a CV, list of publications, description of skills and experience related to the advertised position, 2-page outlook of future research interests, and contacts for at least two references, should be sent via e-application - you can find the link above and below the text. For informal inquiries about the position and CEITEC MU, or in the case of difficulties with the e-application, please contact: hr@ceitec.muni.cz For more information about the recruitment process, refer to CEITEC Recruitment Policy. In justified cases, the job announcer can extend, interrupt, or cancel the selection procedure.

Position: Lecturer (Early Career Faculty)  – Sports Management Location: Victoria University, Gurugram, Delhi NCR Level: Level A Employment Type: Full-Time About Victoria University Victoria University (VU) is a leading dual-sector tertiary institution based in Melbourne, Australia, offering both higher education and TAFE programs. With over 42,000 students globally, including a strong international presence, VU operates across multiple campuses in Melbourne, Sydney, and partner institutions in Asia (Sri Lanka and China). Guided by its strategic plan “Start Well, Finish Brilliantly 2022–2028”, the University aims to become a global leader in dual-sector learning and impactful research. VU is known for its industry partnerships, innovative teaching models, and commitment to creating career-ready graduates while fostering inclusive and future-focused education. In India, Victoria University (VU) is establishing its first India campus in Gurugram, Delhi NCR, scheduled to open in mid-2026, delivering industry-aligned programs with a global curriculum. The Gurugram campus focuses on emerging technologies such as Artificial Intelligence, Data Science, and Information Technology, providing students with international exposure, practical learning, and strong industry connections. Position Summary The Lecturer / Early Career Faculty in Sports Management will serve as a Teaching Focused Academic (TFA) responsible for delivering, coordinating, and developing academic programs in sport management. The role involves teaching undergraduate programs such as Bachelor of Sport Management and Bachelor of Sport Management / Bachelor of Business, with a strong emphasis on sport marketing and industry-integrated learning. The appointee will contribute significantly to teaching excellence, curriculum development, student engagement, and Scholarship of Teaching and Learning (SoTL), while also developing as an emerging researcher in sport business. Indicative Areas of Expertise Sport Management Sport Marketing Business & Management Studies Event, Recreation & Sports Industry Management Industry Engagement & Experiential Learning Scholarship of Teaching and Learning (SoTL) Qualifications & Selection Criteria Essential Master’s degree holder or PhD candidate in Sport Management, Business, or a related field. Experience in undergraduate teaching Expertise in sport management and sport marketing Experience in curriculum development and subject coordination Strong communication, interpersonal, and organisational skills Ability to deliver teaching in a dynamic, collaborative environment Commitment to teaching excellence and student engagement Desirable Experience in teaching business or management subjects Industry experience in sport, recreation, or entertainment sectors Contribution to SoTL or academic research Application Requirements Applicants are required to submit with the following documents: Resume (Curriculum Vitae) Cover Letter If you experience any issues while submitting your application, please email: career@daskalos.com

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.  The primary responsibility of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing the perception system performance for autonomous vehicles (AV). Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct the research work in Human-in-the-Loop AI perception system for autonomous driving Work with the research team, collaborators and the industry partner to design the framework of the proposed solution Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be advantageous. Have strong research record, preferably on top-tier computer science/engineering conferences. Key Competencies Specialized in computer science, computer engineering, or relevant disciplines Enthusiasm in the Deep learning and AV related research Proficient in paper writing and presentation Possess strong analytical and critical thinking skills Able to build and maintain strong working relationships with people within and external to the university Self-directed learner who believes in continuous learning and development Show strong initiative and take ownership of work