Josip Juraj Strossmayer University of Osijek

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 34 Faculty of Law Startdate: 15.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5717 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 Department of Commercial und Business Law is looking for a University assistant predoctoral with an interest in commercial law, especially competition and antitrust law issues, to support teaching and research. The Department is part of the Faculty of Law. The Department is responsible for teaching and research in the field of commercial and business law. As a University assistant predoctoral you will complement the team of Univ.-Prof. Dr. Jannik Otto. Your tasks will include active participation in teaching as well as in research and publication projects. Place of work: Faculty of Law, Department of Commercial and Business Law (Univ.-Prof. Dr. Jannik Otto), Juridicum, Schottenbastei 10-16, 1010 Vienna. The position is advertised for 4 years, whereby the employment relationship is initially limited to 1.5 years and is automatically extended to a total of 4 years, unless the employer submits a declaration of non-extension after a maximum of 12 month. The position is expected to start on 07/15/2026. Your future tasks: The range of your responsibilities include: Participation in research, teaching and administration Assisting with examination activities Participation in publications and scientific articles Completion of a dissertation agreement within 12-18 months is expected Possibility to write a dissertation Participation in and independent teaching of courses Studental supervision This is part of your personality: Completed degree in law Special interest in competition and antitrust law Above-average academic achievement (at least in the field of civil and commercial law) Excellent computer skills (MS-Office) Experience in working with legal databases Excellent written and spoken German language skills Excellent written and spoken English language skills High level of written and oral communication skills Didactic qualification Ability to work in a team Advantageous: Experience in the academic sector 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. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) 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: With your scientific curriculum vitae Letter of motivation With a brief outline of your research interests and your first ideas for a prospective doctoral project proposal Master Degree/Diploma Degree certificates Via our job portal / Apply now - button If you have any questions, please contact: Monika Mauric monika.mauric@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: 06/29/2026 Prae Doc

Job Description Tenure: Permanent Location: University of Liverpool – Bengaluru, India Reports to: Provost, India Campus About the Institution Established in 1881, the University of Liverpool is a prestigious Russell Group university globally recognized for excellence in teaching, research, and innovation. Consistently ranked among leading universities worldwide, much of our research is rated as world-leading or internationally excellent. The University of Liverpool – Bengaluru campus represents a landmark initiative in global higher education, combining the academic heritage of Liverpool with the opportunity to shape a future-facing, student-centric learning ecosystem in India. This role offers a unique opportunity to contribute to building a globally benchmarked academic environment in Computer Science and Game Design, driving excellence in teaching, research, and innovation. Position Summary We are seeking an accomplished academic leader for the role of Associate Professor & Associate Dean – Computer Science & Game Design. This dual-role position combines academic leadership, teaching excellence, and strategic departmental responsibility. The incumbent will lead academic delivery, curriculum innovation, and research development across Computer Science and Game Design disciplines, while supporting the Associate Dean in shaping academic strategy and ensuring alignment with global standards of the University of Liverpool. The role demands a strong commitment to research-informed teaching, interdisciplinary collaboration, and development of future-ready graduates equipped with advanced technical and creative capabilities. Key Responsibilities Academic Leadership & Department Development Provide academic leadership in Computer Science and Game Design programs. Support strategic direction and development of the department in alignment with institutional goals. Foster a culture of academic excellence, innovation, and continuous improvement. Contribute to staff mentoring, performance development, and academic mentoring. Teaching, Learning & Curriculum Design Lead and deliver high-quality undergraduate and postgraduate teaching. Design, review, and enhance curricula aligned with global academic standards. Promote innovative teaching methodologies, including digital learning and experiential education. Ensure strong alignment with outcome-based education frameworks. Research & Scholarly Activity Maintain an active research profile with high-quality publications. Contribute to interdisciplinary research in Computer Science, AI, Game Development, and related fields. Promote research-informed teaching across all programmes. Support research collaborations, grants, and industry engagement. Game Design & Industry Engagement Strengthen industry-academic linkages in Game Design and Interactive Media. Support experiential learning through studios, labs, and project-based learning. Encourage innovation in game development, simulation, AR/VR, and interactive systems. Quality Assurance & Institutional Contribution Participate in academic quality assurance, accreditation, and benchmarking processes. Contribute to institutional academic committees and strategic initiatives. Ensure compliance with University academic policies and standards. Academic Mentorship & Student Success Support student engagement, mentoring, and academic progression. Promote a student-first learning environment focused on success and employability. Foster inclusive, supportive, and high-performance academic culture. Essential Qualifications PhD in Computer Science, Game Design, Interactive Media, or a closely related discipline from a recognised or globally top-ranked university. Academic experience at Associate Professor level or equivalent or must have leadership level. Strong teaching record in higher education. Eligibility or commitment to achieve HEA Fellowship (or equivalent teaching qualification). Demonstrated experience in curriculum development and academic leadership. Skills & Experience Proven record of excellence in teaching and research in Computer Science / Game Design. Strong publication record in reputed journals/conferences. Experience in academic leadership and departmental development. Ability to integrate industry trends into curriculum design. Experience in interdisciplinary teaching and research. Strong communication, mentoring, and stakeholder engagement skills. Ability to work in a fast-paced, evolving academic environment. Core Competencies Strategic academic thinking and leadership Innovation in teaching and curriculum design Research excellence and scholarly impact Collaboration and team development Commitment to diversity, inclusion, and student success Strong ethical and academic integrity standards Commitment to Diversity The University of Liverpool is committed to fostering an inclusive environment that values diversity in all forms. We welcome applications from candidates of all backgrounds and perspectives. Additional Responsibilities All staff are expected to: Adhere to university policies, procedures, and mandatory training requirements. Maintain confidentiality and professional integrity. Engage in continuous professional development. Demonstrate excellence in stakeholder engagement and service delivery. Uphold the values and vision of the University. Accessibility If you require support during the application process or for submitting manual application : please contact: Careers@daskalos.com

Learning Sciences & Assessment Department Overview The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research.  NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives. An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 10 in the world for research impact in the field of Education. The Learning Sciences & Assessment (LSA) Department is an interdisciplinary academic department committed to advancing research, teaching, and professional practice in learning sciences, educational technology, and assessment. Through theoretically grounded and methodologically rigorous scholarship, LSA seeks to deepen understanding of how people learn and how learning environments, pedagogies, and technologies can be designed to improve educational outcomes across diverse contexts. LSA brings together complementary expertise spanning learning design, technology-mediated learning, assessment, analytics, and educational innovation. The department offers programmes across initial teacher education and graduate education, and supports the preparation of educators, researchers, and instructional leaders who can design, study, and lead meaningful learning in schools, higher education, and professional settings. Current programmes include: Master of Arts (Instructional Design and Technologies) Master of Education (Learning Sciences and Technologies) Master of Arts in Professional Education (Training and Development) Master of Teaching Master of Science (Science of Learning) Doctor of Education (Technologies and Technology-Mediated Learning Environments) Doctor of Philosophy (Education) The Opportunity The LSA at the National Institute of Education (NIE), Nanyang Technological University (NTU), Singapore invites applications for a tenure-track Assistant/Associate Professor position in AI-Enabled Instructional Design and Professional Education. The Department seeks a candidate whose scholarship and teaching will strengthen its research, graduate teaching, and programme development in an area of strategic growth. We are particularly interested in applicants whose expertise lies at the intersection of instructional design, adult learning, professional education, and the pedagogically sound use of artificial intelligence to support learning design, facilitation, feedback, and learner support. Candidates with expertise in one or more of the following areas will have an added advantage: Instructional design for higher education, workplace learning, and continuing education Adult learning and professional education Online, blended, and technology-mediated learning design AI-enabled instructional design, including generative AI and intelligent tools for learning design, facilitation, feedback, and learner support Human-centred design of AI-supported learning environments Evaluation of learning interventions in organisational, professional, and higher education settings Ethical, responsible, and pedagogically sound integration of AI in instructional design and professional learning Micro-credentials, workplace assessment, and learning innovation in professional contexts Implementation research, design-based implementation research, or improvement science Requirements For appointment at Assistant Professor rank: A PhD or equivalent qualification in Instructional Design, Learning Sciences, Educational Technology, Adult Learning, Professional Education, or a closely related field. A clear research agenda relevant to AI-enabled instructional design, adult learning, and professional education, with expertise in one or more of the areas identified in this advertisement. Demonstrated potential to develop and sustain a strong research programme, including the ability to secure and manage competitive research funding. An emerging record of high-quality scholarly publications and conference presentations in reputable international outlets. Evidence of teaching effectiveness, or strong potential for teaching excellence, in areas such as instructional design, adult learning, online and blended learning, professional education, or AI-enabled learning design. Familiarity with educational or professional practice and an interest in research with relevance to higher education, workplace learning, continuing education, or professional learning contexts. Potential to build productive collaborations with local and international researchers, educators, industry partners, and other stakeholders. Excellent communication skills in spoken and written English. Collegiality, professionalism, and willingness to contribute to interdisciplinary collaboration, curriculum development, graduate supervision, and academic service. Additional requirements for Associate Professor rank: Established record of excellence as an Assistant/Associate Professor at reputable universities. Outstanding research record in AI-enabled instructional design, adult learning, and professional education. Proven track record of securing competitive research grants. Extensive publication record in high-quality international peer-reviewed journals. International research network with established collaborations. Experience working in or with educational institutions, including schools, is preferred. Responsibilities The successful candidate will be expected to: Establish and sustain a productive research programme, securing competitive research funding. Publish in high-impact peer-reviewed journals or other reputable scholarly outlets. Design, teach, and coordinate courses across graduate and professional education programmes. Collaborate with faculty colleagues to design innovative curricula and support programme development in areas aligned with the Department’s strategic priorities. Supervise graduate students and contribute to the academic and professional development of learners in higher education and professional contexts. Build professional networks with local and international researchers, educators, and industry or professional partners. Contribute actively to service at the departmental, institutional, national, and international levels. Share expertise across NIE through collaborative platforms and interdisciplinary projects. Application Please submit your application together with the following to us through: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Assistant-Associate-Professor-in-AI-Enabled-Instructional-Design-and-Professional-Education--LSA---NIE-_R00024752  A cover letter outlining suitability of the position. A curriculum vitae, including qualifications, teaching experience, research achievements, full publication list, and academic service. Three sample publications Research Impact Statement (up to 5 pages) Applicants should demonstrate the significance and impact of their research by addressing the following: Key Contributions: What are your most important research impacts to date? Evidence of Impact: How has your work influenced your field, policy, or practice? Provide evidence (e.g., publications, citations, policy uptake, industry adoption). Academic Impact: How has your work advanced theory, methods, or knowledge? Societal/Policy/Industry Impact (if applicable): Describe influence on policy, regulation, industry standards, or broader society. Research Identity: What distinguishes your work? Articulate a clear and coherent research trajectory. Contribution and Leadership: Clarify your role in collaborative projects. Future Impact: Outline how your research will shape the field over the next 5–10 years. Teaching Impact Statement (up to 3 pages) Applicants should demonstrate their impact on student learning and education by addressing: How they have enhanced student learning and engagement What teaching innovations or improvements they have implemented and why How they promote interdisciplinary thinking How they incorporate experiential and collaborative learning How they have contributed to a positive teaching culture Applicants are encouraged to provide evidence to support their claims. Closing Date The closing date for applications is 30 June 2026 or until the position is filled. Other Information More information on LSA can be found at https://www.ntu.edu.sg/nie/about-us/academic-departments/Learning-Sciences-Assessment For enquiries, interested applicants may write to Associate Professor Shanti Divaharan, Head of LSA at shanti.divaharan@nie.edu.sg copied to Miss Ng Shiu Fern at shiufern.ng@nie.edu.sg. Note to applicants Only successful candidates will be notified (via email).