Pusan National University

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 Scientific project assistant predoctoral (group "Foundations of Cryptography") 39 Faculty of Computer Science Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5808 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 research group “Foundations of Cryptography” within the research group “Theory and Applications of Algorithms” at the department of Computer Science focuses on provable security of cryptographic schemes. We develop new security definitions which match practical applications, explore complexity-theoretic relations, develop novel, sophisticated proof techniques, and design schemes that provably satisfy strong security guarantees. In the current project (see WWTF Projekt FARCry) we explore the foundations and applications of resource-restricted cryptography. We search for a university assistant praedoc to strengthen our team and help us make the digital world safer. Your future tasks: You actively contribute to research, teaching, and administration, which includes the following: Participation in and contribution to research projects and publications, including presentation Attendance of conferences and publication of your research results in journals and conferences Finalisation of your dissertation agreement within 12-18 months Teaching assistance (in particular, exams) Supervision of students Contribution to the organisation of research meetings, conferences, and symposia Contribution to the administration of the institute, teaching and research Requirements: Completed Master’s degree or Diploma in the field of Computer Science or Mathematics, or a related discipline Basic experience in academic writing Didactic competences High analytical skills High written and spoken articulateness Very good command of written and spoken English IT user skills You should be a team player with high social skills, proactively reaching out to your colleagues Well-founded knowledge in the areas of theoretical computer science and mathematics, basic knowledge in the area of cryptography Outstanding academic study achievements Additionally, the following skills would be desirable: Experience with teaching First publication experience Experience with interdisciplinary research Knowledge of structures and processes within universities Study experience abroad 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 monthly gross salary of EUR 2.832,08 (on the basis of 30h employment, 14 monthly salaries per year) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: Please submit the following documents in English: Cover letter; in particular, focus on your suitability for the advertised position and your expertise in the relevant research areas (at most 1 page) CV (including an overview on your teaching experience, if applicable) List of publications, including Bachelor and Master theses Master thesis (if already finished, otherwise Bachelor thesis) Teaching certificates (if applicable) Final study transcripts Apply through our job portal / Apply now - button If you have any questions, please contact: Karen Azari karen.azari@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: 07/01/2026

Role type: Full Time, Fixed Term (15 Months)Faculty: Faculty of scienceSchool: School of Mathematics and StatisticsSalary: Level A: $87,266 - $118,416 p.a. plus 17% superCutting edge AI optimisation research within ARC Training Centre OPTIMA / Strong industry collaboration and real world impact / Collegial, multidisciplinary team at Melbourne ConnectJoin OPTIMA to shape next-generation AI optimisation tools, publish at the highest level, and build industry partnerships.Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunity You will drive exploratory research at the intersection of AI and optimisation within ARC Training Centre OPTIMA. You will integrate AI tools into optimisation software, collaborate with industry, and co-supervise talented Masters and PhD students. You will gain mentoring, publishing and networking opportunities in a highly collaborative, multidisciplinary team at Melbourne Connect. What you will deliver:Advance cutting edge research on AI methods for model-based and black-box optimisation aligned with OPTIMA priorities.Develop, test and maintain open-source optimisation tools, integrating AI methods, instance space analysis and MiniZinc where appropriate.Publish high quality journal and conference papers, and present research at seminars, conferences and industry engagements.Co-supervise and mentor honours, Masters and PhD students, supporting timely thesis completion and impactful research outputs.Build collaborations with industry partners and OPTIMA colleagues, contributing to funding proposals, workshops and centre governance activities.You may be a great fit if you:Hold or approach completion of a PhD in applied mathematics, statistics, computer science, engineering or related discipline.Possess strong knowledge of AI tools, including machine learning methods and generative AI platforms, applied to optimisation.Demonstrate research excellence in optimisation or related fields, evidenced by quality publications relative to opportunity.Offer expertise in one or more areas such as operations research, constraint programming, evolutionary computation or machine learning.Show experience supervising or mentoring research students and collaborating effectively within multidisciplinary teams or industry projects.Exhibit potential to contribute to competitive grant applications and to engage productively with external partners and stakeholders.For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:Build future financial security with 17% superannuationSupportive flexible work arrangements underpinned by our commitment to inclusion and well-beingCareer development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn LearningProgressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leaveSalary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre CompanyHealth and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - School of Mathematics and Statistics You will join OPTIMA, an ARC Industrial Transformation Training Centre uniting researchers and industry to tackle complex optimisation challenges. Based in the School of Mathematics and Statistics within the Faculty of Science, you will collaborate with leading experts across mathematics, computer science, engineering and industry. Working from Melbourne Connect, the University's innovation precinct, you will benefit from outstanding facilities, strong mentoring, and a vibrant cohort of postdoctoral fellows and students committed to impactful, collaborative and inclusive research. For more on OPTIMA, visit: www.optima.org.au Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials:Visit "apply with us" to learn more about the process, including tips and FAQs.You must have current valid work rights for Australia. Visa sponsorship is not available for this role.A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.Please upload your resume and a cover letter outlining your interest and experience as part of the application process.Please upload your responses to the Selection Criteria, found in the Position Description.Want to know more?For queries related to this specific position or for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.auFor recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').Apply today, and join a community that's shaping the future. Applications close: Sunday 28 June 2026 11:55 PM; Melbourne time zone.Position Description:JR-013584 OPTIMA Postdoctoral Research Fellow, AI in Optimisation_PD.pdfJR-013584 OPTIMA Postdoctoral Research Fellow, AI in Optimisation_PD.docx

Description The Haven Lab, in the Division of Engineering and the Center for Cyber Security, New York University Abu Dhabi, invites applications for a Post-doctoral Associate position in security and privacy. The lab's mission is to provide individuals with control over their privacy and protection from digital threats. We want to work towards a future where digital services are inherently designed with user privacy and safety at the forefront. Current research thrusts involve: Large-scale measurements on the web to understand and characterize harmful online phenomena. Development of AI-based countermeasures for security and privacy, especially in on-device settings. Investigation of attacks/defenses on AI-based systems. More information on Dr. Siby’s research is available at https://sandrasiby.github.io/. The lab website can be found at https://sites.google.com/nyu.edu/haven-lab The successful candidate will engage in research that includes applied machine learning, systems building, and Internet measurements. Key Responsibilities: Contribute to driving and developing the lab's research directions and methodologies. Lead and collaborate on high-impact research projects in applied security and privacy. Mentor Ph.D./Master's/Bachelor’s students, providing guidance on research projects. Participate in developing coursework and organizing academic and community outreach events. Engage with academic and industry partners to advance the lab's research goals. Qualifications: A Ph.D. in Computer Science, Engineering, or a related discipline, with a focus on security, privacy, or applied machine learning, and with less than 5 years post receipt of PhD. Demonstrated research experience in at least one of the lab’s research thrusts. Good programming and analytical skills, and willingness to work with new technologies/systems. Excellent communication skills and the ability to work effectively in a collaborative environment. For consideration, applicants need to submit a cover letter, curriculum vitae, research statement, transcript or degree, and at least two recommendation letters, all in PDF format. Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please email: sandra.siby@nyu.edu 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