University of Ciego de Avila

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

Briefing: This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and data applications. Disciplines： Computer Science and Technology Cyberspace Security Data Science and Big Data Technology Data Computation and Applications Data Science Artificial Intelligence Major Responsibilities The successful candidates will be expected to: Deliver exceptional education, both independently or collaboratively, for undergraduate and postgraduate courses; Achieve international recognition and demonstrate leadership in their respective fields through outstanding research; Contribute to administrative tasks, ensuring efficient operations and supporting the advancement of the university's mission (applicable to senior faculty); Proactively secure external funding for research projects, promoting technological innovation; Provide exemplary supervision for student projects, internships, and theses, guiding them towards academic excellence. Qualifications Applicants should hold a doctoral degree in the relevant field. A strong track record in independent research, teaching, student supervision, and service is highly desirable. Candidates who have recently obtained their PhD with exceptional achievements may also be considered. For the positions of Chair Professor, Professor, and Associate Professor, applicants should: Demonstrate a record of world-class academic accomplishments and reputable international academic leadership; Possess extensive experience in teaching, student supervision, and securing research project funding; Demonstrate the ability to establish a distinguished research programme aligned with the University's strategic research areas; Commit to delivering high-quality teaching and supervision to a diverse student population at both undergraduate and postgraduate levels. For the Assistant Professor position, applicants should: Demonstrate strong potential in research and teaching that aligns with the University's strategic research areas. Compensation and Benefits We offer a highly competitive package, including excellent fringe benefits and research support: Competitive remuneration and attractive fringe benefits; Start-up research funding; Access to top-quality research equipment and support; Various government-sponsored talent programmes (for eligible candidates); Abundant local industry resources for collaborative horizontal projects. Application Requirements To apply for the faculty positions at CityUHK(DG), please ensure that your application includes the following documents: A cover letter introducing yourself and expressing your motivation for joining CityUHK(DG). Please highlight your qualifications, relevant experiences, and how you envision contributing to CityUHK(DG) academic community; A comprehensive resume, which should include a full publication list showcasing your academic achievements and contributions; Research statement outlining your vision and goals for your future research endeavors within the University; Teaching statement outlining your vision and goals for your future teaching endeavors within the University; PDF files of three representative publications demonstrating the quality and impact of your scholarly work; The names and contact information of at least 3 references; Any additional supporting documents or evidence of your research, teaching, or leadership accomplishments that you believe will strengthen your application. Application Review and Contact Information Review of applications will commence promptly and continue on an ongoing basis until all positions are successfully filled. To apply, please send your application materials with the email subject line titled "Your name+Position you apply for+Field" to college@cityu-dg.edu.cn. (e.g. Applicant's Name + Assistant Professor＋ Intelligent Manufacturing and Systems Engineering) Kind reminder: To ensure your application is processed successfully, please make sure to include the required subject line in your email. For more information, please visit the University website below： https://www.cityu-dg.edu.cn/en/academic-positions

The University of Vienna is a cosmopolitan hub for almost 11,000 employees, of whom around 7,700 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a University assistant predoctoral at the Department of Communication 49 Faculty of Social Sciences Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.07.2030 Reference no.: 5698 There are many good reasons to want to conduct research and teach at the University of Vienna. And one reason why around 7,500 academic staff members before you have chosen this university. You see yourself as a personality who needs room for curiosity and a continuous drive in order to be scientifically successful. Do you need that too? Welcome to our team! Your personal sphere of influence: As a predoctoral university assistant, you will join the research team of Univ.-Prof. Desirée Schmuck in the area of Media Change and Media Innovation. You will work in the Vienna Media Change and Innovation (VMCI) Lab, which is based at the Department of Communication, a subunit of the Faculty of Social Sciences. The research area focuses on media use and effects among children and adolescents, political engagement in digital media environments, media change and intergroup relations, the self-determined use of media innovations such as artificial intelligence, and many other exciting topics related to the evolving media environment. The team currently consists, in addition to the professorship, of three prae-docs, one student assistant, and one administrative staff member. What characterizes us as a team is a highly collegial way of working, curiosity about new phenomena in media change, and a commitment to internationally excellent research. Your future tasks: You actively participate in research, teaching, and administration, which means: You contribute to research projects and scientific studies in the field of media change and media innovation, while further developing your own research interests. You work on your dissertation and its completion in the area of media change and media innovation. You publish in scientific journals and present your findings at relevant (international) conferences. You contribute to project proposals and the acquisition of third-party funding. You participate in the organization of conferences and symposia. You teach courses independently within the scope of the provisions of the collective bargaining agreement and contribute to student supervision. You take on administrative tasks in research and teaching. This is part of your personality: Strong interest in theoretically and empirically researching topics in communication science Completed Master/Magister degree in Communication Science, Psychology, Political Science, or Sociology Very good knowledge of quantitative, qualitative and computational social science research methods, in particular experiments, (automated) content analysis, surveys, and interviews Very good knowledge of statistical data analysis Very good skills in using data analysis software, in particular R Didactic competencies Excellent English skills, both written and spoken (C1) Team player with strong social and communication skills Flexibility and commitment 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 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. Duration of contract: 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. Fair salary: The basic monthly gross salary for this advertised position currently (2026) is € 3,776.10 (based on full-time) in salary group B1 and will be paid 14 times a year for a period of four years (i.e., the duration of the contract). The basic salary increases if we can credit prior professional experience.  Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With a letter of intent (max. 2 pages) With your academic CV/list of publications Master's Degree/Diploma including transcript of records Contact details of two referees Via our job portal (“Apply now” button) If you have any content questions, please contact: Desiree Schmuck desiree.schmuck@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: 06/30/2026  Prae Doc https://jobs.univie.ac.at/job-invite/5698