Pusan National University
About Pusan National University
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Key Student Statistics
A breakdown of student statistics at Pusan National University
- Student gender ratio
- 53 F : 47 M (1)
- International student percentage
- 14% (1)
- Students per staff
- 15.5 (1)
- Student total
- 15331 (1)
Based on data collected for the (1) World University Rankings 2026
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Associate Dean (Research Education)
The University of Sydney
Australia, Camperdown
The University of Sydney
Australia, Camperdown
Provide leadership in research education in alignment with Faculty of Engineering's strategic goals Join the leadership team of a preeminent engineering faculty, one of the largest in the world Fixed-term role for a period of 4 years with an attractive remuneration package and possibility of a substantive continuing appointment at level D/E in the relevant school About the opportunity The Faculty of Engineering is seeking an outstanding academic leader to join the Faculty Executive as Associate Dean (Research Education) on a four-year fixed-term leadership appointment, supported by a continuing substantive appointment as Professor within an aligned School and discipline. This opportunity is suited to a senior academic with a strong track record in leadership, collaboration, and academic excellence, who is motivated to contribute to the strategic direction and operational success of the Faculty and University. The role will be structured as 0.4 FTE Associate Dean and 0.6 FTE Professor (Teaching and Research) for the duration of the four-year term. At the conclusion of the appointment, the successful candidate will transition to an ongoing 1.0 FTE Professor (Teaching and Research) role within an aligned School. The Associate Dean (Research Education) plays a pivotal role in advancing the Faculty's and University's research education strategy, ensuring the quality, integrity, and successful outcomes of Higher Degree Research (HDR) and research training programs as well as the development of postdoctoral researchers. Working closely with the Deputy Dean and Faculty leadership, the Associate Dean provides high-level strategic and operational leadership, shaping and implementing strategy, aligning Faculty priorities with University goals, and ensuring a high-quality, future-focused research training environment spanning the full early-career research pipeline from HDR candidature through to postdoctoral research positions. The role leads the full HDR lifecycle over a cohort of about 1000 HDR candidates, including recruitment, admissions, supervision quality, candidate experience, candidature management, and timely completions. It provides strategic oversight of the scholarships framework, budget and allocation models to attract and retain outstanding candidates and ensure alignment with Faculty and University priorities. The role also provides strategic leadership of the Faculty's postdoctoral cohort of more than 300 researchers, including onboarding, mentoring, career development, and progression into independent research careers. Underpinning both portfolios is a strong commitment to effective governance, continuous improvement, and a culture of excellence and accountability in supervision and researcher training. The Associate Dean (Research Education) works in close alignment with the Pro Vice-Chancellor (Researcher Training), Research Education leaders across the University, and School-level leaders to ensure coordinated, consistent, and high-quality research training outcomes across the Faculty. About you You are an accomplished academic leader with a strong track record in research training, and the potential to lead at scale, influence strategy, and deliver measurable improvements in outcomes. You will have: A strong research profile with national and international standing A sustained record of successful Higher Degree Research (HDR) supervision, including timely completions, and an understanding of the distinctive needs and career trajectory of postdoctoral researchers Demonstrated experience in research education, graduate research, or a closely aligned portfolio, with evidence of leadership contribution or potential and a sound understanding of research training policy, funding frameworks, and sector trends Experience in driving performance outcomes across completion rates, candidature quality, candidate experience, and strategic allocation and budget oversight of HDR scholarships Demonstrated ability to support and develop supervisory practice and contribute to a culture of excellence and accountability Strong stakeholder engagement and interpersonal skills, with the ability to lead and influence across a complex academic environment and build external partnerships that enhance research training outcomes Experience in academic governance or quality processes, or the capacity to quickly develop capability in these areas Commitment to researcher wellbeing, equity, and inclusion across the full research training and early-career research community Click to view the Candidate Information Brochure. Click to view the Position Description. Term and remuneration The term of the appointment is four years. This position will be supported by an underlying continuing position at level D/E in the relevant school. A competitive salary and a start-up package will be negotiated with the successful applicant. Visa sponsorship and relocation assistance will also be provided if required. About us The University of Sydney is Australia's first university with an outstanding global reputation for academic and research excellence. Since our inception 175 years ago, the University of Sydney has led to improve the world around us. We believe in education for all, and that effective leadership in education and research makes lives better. These same values are reflected in our approach to diversity and inclusion and underpin our long-term strategy for growth. Across our campuses, we employ over 7600 academic and non-academic staff who support over 70,000 students. We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us. The University of Sydney is recognised as one of the top research and teaching universities in the world. We are a globally ranked university, ranked 18th in QS University World Rankings 2025, 1st for sustainability in Australia. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Robinson Fitzgerald Executive Search has been engaged to assist the University of Sydney with this appointment process. For confidential enquiries and to request the comprehensive candidate information booklet, please contact: Kate Robinson quoting reference RF0270. Kate Robinson, Director T: +61 409 769 560 E: krobinson@robinsonfitzgerald.com.au Applications close 2 July 2026. Applications should be emailed directly to krobinson@robinsonfitzgerald.com.au For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. © The University of Sydney The University reserves the right not to proceed with any appointment. Applications Close Thursday 02 July 2026 11:59 PM
Salary
Competitive salary
Posted
29 May 2026
Research Engineer/ Research Fellow (Design Factory) - NCP2
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Job Purpose We are a multi-disciplinary design team that uncovers opportunities and challenges others overlook, solving them with bold, unconventional solutions powered by deep technology. Through compelling storytelling and stunning product visuals, we bring complex technologies to life, making them accessible, desirable, and easy to adopt. We don't just showcase technology, we champion it. Acting as the bridge between cutting-edge innovation and real-world customers, we translate technical complexity into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire action. Key Responsibilities Lead end-to-end design processes, from user research and ideation to wireframing, prototyping, and high-fidelity UI design Conduct user research, usability testing, and interviews to uncover insights that inform design decisions Produce high quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes. Support the design and development of physical products from early concept through to final production Present designs to customers, develop and iterate designs through sketches, prototypes, renderings and communicate with stakeholders. Work on projects that spread across product development, print, packaging, video storytelling, brand identity, and interactive projects for screens, devices, and space. Build physical and digital models and prototypes to explore and validate design directions. Align with proposed design direction and bring in the voice and emotion to the project through thoughtful features and initiatives. Bring both a strategic eye and a depth of craft in brand and communications design to the project teams. Provide advice and guidance on the implementation of UI/UX research methodologies and instil inspiration into the organization and our partners. Assist in creating prototypes of different levels of fidelity to help enhance the design direction for a project. Applied Research and Innovation Job Requirements Minimum 2 years of experience in Industrial design or UI/UX design, with a strong portfolio demonstrating end-to-end design thinking Degree in Industrial Design, Product Design, Interactive Design or related field. Solid understanding of user-centered design principles, interaction design, and visual design fundamentals A collaborative mindset with the ability to give and receive constructive feedback Experience working within agile or iterative product development environments is a plus Proficiency in design tools such as Figma, Adobe XD, or equivalent Proficiency in CAD software such as SolidWorks, Rhino, or Fusion 360 Familiarity with rendering tools such as KeyShot, Blender, or similarAbility to spark ideas and generate fresh concepts and inspire peers. High proficiency in Adobe Photoshop, Illustrator and other Adobe Suite Tools. Excellent drawing skills with a creative mind to bring new perspectives to the design.
Salary
Competitive
Posted
29 May 2026
Research Engineer (Decision-Support Tool Development) - CSC3
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
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. Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.
Salary
Competitive
Posted
29 May 2026
Associate Research Scientist in the Division of Science (Mathematics - AI) - Dr. Panče Naumov
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated associate research scientist candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with experimentalists from the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM) at NYUAD. The results of this work are anticipated to be published in peer-reviewed journals and presented at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD with at least 3 years in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject to mutual agreement. The successful candidate is also expected to play an active role in other projects and activities within the Smart Materials Lab and assist in supervising undergraduate or PhD students. To apply, submit a cover letter, a curriculum vitae that includes a complete publication list, a statement of research interests, a transcript, and three letters of reference, all in PDF format. For any inquiries, please contact Dr. Panče Naumov (pance.naumov@nyu.edu). The terms of employment are very competitive and include housing and educational subsidies for children. Applications are being accepted immediately, and candidates will be considered until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD
Salary
Competitive
Posted
29 May 2026
University Assistant Predoctoral, Computer Science
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.07.2029 Reference no.: 5671 The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. The job posting includes two pre-doctoral positions, each for 30 hours per week. Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The two postdoctoral positions are based in the newly established “Computer Science Education Group” (CSEG) within the “Didactics of Computer Science” professorship, led by Mag. Dr.techn. Bernhard Standl in the EDEN research group at the Faculty of Computer Science at the University of Vienna. The positions are situated within the research fields of computational thinking and AI literacy. The dissertations will focus on computer science education, with an emphasis on the empirical investigation of teaching and learning processes related to fundamental computational ways of thinking and acting, such as problem-solving processes, abstraction, modeling and pattern recognition as well as the understanding, application and reflection on artificial intelligence. A central research environment is the Computer Science Teaching and Learning Lab, where teaching and learning scenarios are developed, tested, empirically investigated and further refined in both school and university contexts. These positions offer the opportunity to contribute to a newly emerging research group, write a cumulative dissertation in computer science education and engage with national and international research networks. The selected pre-doctoral researchers will also be integrated into the UniVie Doctoral School of Computer Science (DoCS). Your future tasks: You actively participate in research, teaching & administration, which means: You are working on your dissertation and its completion in the field of computer science education, specifically on computational thinking, AI literacy, fundamental concepts in computer science or digital literacy. You develop and test computer science education workshops and teaching-learning scenarios for the Computer Science Teaching-Learning Lab and for use in schools. You conduct these workshops in the Computer Science Teaching and Learning Lab and in school-based collaborative settings. You conduct empirical research on the developed teaching and learning scenarios, evaluate the results and iteratively refine the concepts. You author academic publications, conference papers and presentations. You participate in research-based teaching as well as in school collaboration initiatives, knowledge transfer activities and organizational tasks within the research group. We expect you to finalize your dissertation agreement within 12 months. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed Master's degree or Diploma in the field of computer science, teaching digital literacy and computer science, computer science education or a related field with a clear focus on computer science or computer science teaching and learning processes. A strong interest in computer science education, AI literacy, computational thinking and empirical teaching and learning research. Willingness to work on a dissertation in the field of computer science education. Basic knowledge of empirical research methods or a willingness to develop these skills further. Strong computer science and technical skills, particularly in programming, digital tools or computer science teaching and learning settings. Excellent command of written and spoken German and English (C1 Level). A structured, independent and reliable work style, ability to work in a team, strong communication skills and a passion for interdisciplinary collaboration. Desirable qualifications include: Knowledge or experience in one or more of the following areas: computational thinking, programming, algorithmic thinking, physical computing, robotics, modeling, basic computer science education, AI literacy or general digital literacy. Experience in schools, teacher education, learning support or educational work. Initial experience with qualitative, quantitative or mixed-methods research designs, design-based research, instructional development or the evaluation of teaching and learning settings. 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) (paid 14 times a year) increases if we can credit professional experience. Duration of contract: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent A cover letter explaining why you are a good fit for the position and the research field of computational thinking / computer science education A brief outline of potential dissertation topics, approx. 1–2 pages Proof of completion of a master’s or diploma program Abstract of your master’s or diploma thesis If available: list of publications, proof of teaching experience, classroom experience, project collaboration or academic presentations Optional: a representative writing sample, e.g., master’s thesis, seminar paper or publication Via our job portal / Apply now - button If you have any questions, please contact: Bernhard Standl bernhard.standl@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: 06/15/2026 Prae Doc
Salary
The basic salary of EUR 3.776,10 (on a full-time basis)
Posted
28 May 2026
Subjects Taught at Pusan National University
See below for a range of subjects taught at Pusan National University
Arts and Humanities
- Archaeology
- Architecture
- Art, Performing Art and Design
- History, Philosophy and Theology
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
- Economics and Econometrics
Computer Science
- Computer Science
Education Studies
- Education
Engineering
- Chemical Engineering
- Civil Engineering
- Electrical and Electronic Engineering
- General Engineering
- Mechanical and Aerospace Engineering
Law
- Law
Life Sciences
- Agriculture and Forestry
- Biological Sciences
- Sport Science
Medical and Health
- Medicine and Dentistry
- Other Health
Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy
Psychology
- Psychology
Social Sciences
- Communication and Media Studies
- Geography
- Politics and International Studies
- Sociology