ISC Paris

Job Description SCHOOL OF COMMUNICATION DEPARTMENT OF JOURNALISM Founded in 1968, Department of Journalism is part of School of Communication, and remains one of the best-known journalism faculties in Hong Kong. In fact, many of the city’s top media professionals are our graduates, including the top executives of some leading media organisations. The department is now offering journalism and digital media as a major undergraduate programme with two concentrations: Journalism, and Digital & Media Communication. Its faculty members also work in a dynamic, interdisciplinary academic environment that entails collaboration across multiple fields of study.  Associate Professor / Professor (25260691) The Department invites applications for full-time faculty positions of Associate Professor / Professor in Journalism, Media and Communication Studies. The following specialty fields are based on the department’s strengths, disciplines, and teaching/research areas. Journalism and Media Studies Broadcast Journalism and Social Media Digital Journalism Data Journalism Emerging Media Studies Global/International Communications AI/Computational Communication AI Literacy/Ethics in Journalism  AI Application in Journalism  Interactive Media Responsibilities: Conduct cutting-edge research and contribute to the research strengths of the Department; Deliver quality teaching and supervision in relevant discipline(s) at undergraduate and postgraduate levels; Obtain competitive research grants; and Engage in professional, institutional and community services. Requirements: Hold a Ph.D. degree in related field(s); Have a solid research track record and active research agenda; Show evidence-based research impact and publications in international refereed journals; Demonstrate a strong commitment to excellence in teaching; and Have competitive research grant records and an outstanding record of achievement in scholarship for appointments at senior ranks. The appointee will be allocated to one of the three departments based on his/her research field, teaching area and/or other relevant expertise. The initial appointment will be offered on a fixed-term contract of up to three years commencing September 2026 or on a mutually agreed date. Re-appointments thereafter will be subject to performance and mutual agreement. Tenured appointments are expected to be attained in 6 years. Outstanding candidates at Associate Professor or above may be considered for walk-in tenure on appointment. Rank and 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 interview 4 months after submission of 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.

Classification: Academic Level B  Salary package: $121,598 - $137,870 per annum plus 17% superannuation Terms: Full time, Continuing  Position Description and Selection Criteria:  PD_PEWER_Academic Level B Lecturer in Marketing.pdf Position overview  The Research School of Management in the ANU College of Business and Economics aims to create and share management knowledge that makes a difference to organisations and society. Eight academics with affiliations to our School are listed among the 2025 Standford/Elsevier Top 2% Scientists. To continue the current growth trajectory, we are seeking to recruit a Lecturer (Level B) in the field of Marketing. The successful applicant will conduct research of international standing and actively contribute to undergraduate and postgraduate teaching in the School. They will have a strong work ethic, a practical approach, and be passionate about the quality of their work. The successful applicant will join a strong team of academics who publish in top international journals, hold external competitive grants, and receive recognitions for their sustained pursuit of educational excellence. The School and College provide an excellent research environment, including favourable teaching load and internal research support. Based in Canberra, the position is open to international applicants. The successful applicant will be offered relocation assistance to Canberra. We have a strong equal opportunity culture. We encourage all applicants particularly, female, Aboriginal or Torres Strait Islander applicants. College overview The Australian National University (ANU) is one of the world’s great universities, ranking 32nd in the 2026 QS World University Rankings. The Research School of Management sits within the ANU College of Business and Economics. The College educates the next generation of business leaders, professional economists and academics. Our graduates have the knowledge and skills to lead organisations, design public policy, and research the big issues of business and economy. Located in the national capital, we engage deeply with the business and policy communities. Our academics lead public debate on the critical issues of our time through their research, which is both long term and strategic in focus. Our internationally diverse student body is evenly divided between undergraduate and postgraduate study, and we have a large doctoral program. Our alumni are found in the world's leading companies, policy agencies and universities. We strongly believe that the way in which we operate is defined by our Values and Behaviours and encourage you to apply if you are looking for a workplace that encourages respect, collegiality and excellence. For more information about the position please contact Professor Vinh Lu at: director.rsm@anu.edu.au The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au. ANU values diversity and inclusion and believes employment opportunities must not be limited by socio-economic background, race, religion or gender. For more information about staff equity at ANU, visit https://services.anu.edu.au/business-units/human-resources-division/equity-and-diversity  Application information In order to apply for this role please make sure that you upload the following documents:  A statement (3 pages max) addressing each of the selection criteria A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can provide these online when prompted in the application form. Applications that do not address the selection criteria may not be considered for the position.  Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing Date: Monday, 8 June 2026, 11:55pm (AEST)

Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the SIT x NVIDIA AI Centre (SNAIC). This role is part of an industry innovation project with a large consumer goods company, where you will develop an evaluation framework for vision-language model (VLM) with applications in the personal care sector. The research focuses on fine-grained VLM capabilities such as spatial reasoning, temporal grounding, event tracking, and domain knowledge using a curated multimodal dataset. Key Responsibilities Manage the research project together with the Principal Investigator (PI) and industry partner to ensure all project deliverables are met Design and implement evaluation frameworks and metrics for vision-language models Develop annotated video datasets and capability-tagged evaluation tasks Build end-to-end evaluation pipelines and failure mode analysis tools to analyze VLM performance across reasoning dimensions Prepare technical reports, publications, and industry-facing deliverables Mentor student assistants Candidates are to communicate with any internal or external parties to ensure project deliverables are met. Any other ad-hoc duties as assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry-collaborative research