Luoyang Normal University

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... University Assistant postdoctoral 60 Centre for Teacher Education Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5674 With 27 teaching subjects, one specialization and over 11,000 student teachers, the University of Vienna is the largest teacher training institution in Austria. At the Centre for Teacher Education (ZLB), we are working to bundle and further develop the various initiatives to improve the quality of teacher education. Together with the faculties and centres involved in teacher education and the universities of teacher education within the North-East Network, future teachers are prepared for the changing needs of a modern school and are enabled to contribute to shaping the learning and living environment of schools on the basis of scientific expertise.  Your personal sphere of play: The position is located in the field of Educational Sciences at the Center for Teacher Education (Chair of School Pedagogy with Special Consideration of Social, Linguistic and Cultural Diversity). The department deals with questions of school participation, inclusion and equal opportunities. We investigate how education systems, schools and teaching create conditions that can promote or limit the learning, well-being and development of children and young people. In doing so, we look at individual development processes as well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines education in all its complexity. The position is limited to 1 year. Your future tasks: Active participation in research, teaching & administration, which means: Participating in research projects/scientific studies International publication and lecturing activities Project applications and third-party funding acquisition Independently holding courses in accordance with collective agreement provisions Student supervision Participation in evaluation measures and quality assurance Participation in research, teaching, and institute administration This is part of your personality: Relevant doctorate/PhD Technical expertise in the field of school pedagogy and diversity/inclusion Relevant publications in renowned, subject-specific media (peer-reviewed; Q1) National & international lecturing activities Experience in managing externally funded projects Experience in securing external funding Knowledge of university processes and structures Excellent methodological skills in the field of empirical educational research (quantitative research, qualitative research, systematic reviews/meta-studies) Didactic skills in the field of university teaching Teaching experience in the field of teacher training Experience in student supervision (supervision of master's theses) High level of written and oral communication skills Very good written and spoken German and English skills Ability to work well in a Team What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). 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 in the center of beautiful Vienna 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. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (full-time basis) (14 times a year) for a period of X years / X months 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 intent With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree  Contact details of persons who could provide reference letters Via our job portal/ Apply now -  button If you have any questions, please contact: Susanne Schwab susanne.schwab@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  Post Doc

Description The Teaching and Learning Specialist advances teaching and learning at NYU Abu Dhabi by partnering with faculty, academic staff, and students to design, pilot, and scale evidence-based instructional and assessment practices. Working collaboratively with faculty as disciplinary experts, the Specialist supports innovation through targeted experimentation, evaluation, and refinement of teaching approaches that enhance student engagement and learning in a diverse, global context. Grounded in the mission of a global liberal arts institution, the role contributes to educational practices that cultivate critical thinking, intellectual curiosity, and social responsibility, preparing students to navigate and address complex, evolving societal and global challenges. The Teaching and Learning Specialist reports to the Director of the Hilary Ballon Center for Teaching and Learning. The Hilary Ballon Center for Teaching and Learning (HBCTL) partners with faculty, academic staff, and collaborators across NYU Abu Dhabi to advance inclusive, innovative, and evidence-informed teaching that supports student learning, belonging, and success. Through support for faculty innovation in the classroom, interdisciplinary exchange, teaching communities, and the scholarship of teaching and learning, HBCTL fosters reflective teaching practice and advances pedagogical approaches that respond to evolving educational challenges and emerging technologies within a global liberal arts context. Key Responsibilities 1. Scholarship of Teaching and Learning (SoTL) Conduct and apply research on teaching and learning to inform instructional practices and institutional initiatives Translate evidence and data (e.g., student and faculty feedback, surveys, learning analytics metrics) into actionable insights and resources Contribute to the strategic development and dissemination of research-informed teaching practices within and beyond the institution 2. Faculty Partnership & Development Collaborate with faculty and academic staff as disciplinary experts to co-design courses, assignments, and assessments Contribute to faculty development initiatives, including New Faculty Orientation, structured discipline-specific program developed in collaboration with area-specific needs and peer observation programs Support faculty in adopting inclusive, evidence-based, and innovative teaching practices 3. Innovation in Teaching, Learning & AI Co-design and implement pilot projects to explore new approaches to teaching and assessment, including AI-integrated and AI-cognizant practices Support the development and implementation of AI-related guidelines, policies, and faculty support resources Support programs in developing AI-literacy components through integrated assignments Evaluate and scale effective innovations in alignment with institutional priorities 4. Student Partnership & Learning Ecosystem Engage students as partners in teaching and learning initiatives through collaboration with AI student liaisons, student government, and other student groups Design and support mechanisms for gathering student insight (e.g., surveys, focus groups, faculty-student groups, research) to inform instructional practices and institutional priorities Facilitate structured opportunities for faculty to incorporate student perspectives into course design, assessment, and AI-related practices Collaborate closely with relevant units (e.g., Center for Writing,, Academic Resource Center, Student Success) to align student academic support with course expectations and learning goals 5. Cross-Unit Collaboration & Institutional Alignment Coordinate with academic and administrative units (e.g., Academic Technology, Library, Writing Center, Academic Resource Center) to align teaching and learning initiatives Support institution-wide priorities related to curriculum, assessment, and student success Contribute to coherent, integrated approaches across programs and initiatives 6. Programs, Resources & Engagement Support the design and delivery of workshops, events, and teaching-related initiatives Develop and disseminate resources, guides, and communications for faculty and students Engage external collaborators and speakers to advance dialogue on teaching and learning 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 faculty/academic 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 faculty/academic 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 Qualifications Required Qualifications Education: Master’s degree in Education, Learning Sciences, Instructional Design, Educational Technology, or a related field, or equivalent combination of education and experience Experience & Expertise:  Minimum of 5 years of experience in higher education, teaching and learning centers, or related roles Demonstrated expertise in curriculum design, learning outcomes assessment, and evidence-based pedagogical practices Strong understanding of foundational skill development, including critical thinking, problem-solving, and disciplinary ways of knowing Experience applying the Scholarship of Teaching and Learning (SoTL) to inform practice and institutional initiatives Experience collaborating with faculty on course design, assessment, and instructional innovation Demonstrated commitment to inclusive teaching practices and supporting diverse student populations Interest in advancing teaching and learning in a global liberal arts context AI-related competencies: Understanding of how AI technologies, including generative AI, are shaping student learning behaviors, assessment, and skill development Ability to critically evaluate AI-facilitated applications and their implications for teaching, learning, and academic integrity Experience or demonstrated interest in integrating AI into teaching and learning in pedagogically meaningful ways Skills & Competencies: Ability to work collaboratively with diverse stakeholders, including faculty, students, and cross-functional teams Strong analytical skills with the ability to translate research and data into actionable strategies and resources Excellent written and verbal communication skills, with experience developing instructional materials and resources Ability to manage multiple projects and priorities in a dynamic environment Application Instructions To apply for this position, please submit the following documents: CV Cover Letter List three professional references, including their names and email addresses. They may be contacted at a later stage of the process. We will begin reviewing applications on June 8th. If you have any questions, please e-mail nyuad.academicrecruitment@nyu.edu. 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. 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 #nyuadinstructorcareers

Role type: Full time, Fixed Term (3 years) Faculty: Faculty of Science School: School of Mathematics and Statistics Salary: Level A: $85,555 - $116,094 p.a. plus 17% super Level B: $122,212 - $145,121 p.a. plus 17% super ARC funded stochastic optimisation project on correlated restless bandits / collaborate with leading international investigators / develop independent research profile Join us to shape new theory and applications in stochastic optimisation and mentor emerging researchers. 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 join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models. You will collaborate with leading investigators across Melbourne, RMIT and Spain, developing your independent research profile. You will also co-supervise research students and contribute to teaching within a world-class mathematics school. What you will deliver: Conduct high quality research in stochastic optimisation, focusing on theory and applications of correlated restless bandit models. Collaborate closely with chief investigators and research partners to design studies, analyse results and publish impactful outputs. Prepare and contribute to competitive grant proposals and related research documentation under guidance from senior academics. Co-supervise and mentor postgraduate and honours students, supporting their research training and academic development. Present research at seminars and conferences, and participate in School service, outreach and diversity activities. You may be a great fit if you: Hold or submit a PhD in mathematics, optimisation, stochastic modelling or a closely related quantitative discipline. Demonstrate strong expertise in stochastic optimisation, including experience applying advanced methods to complex modelling problems. Bring experience contributing to research projects, from problem formulation to analysis, publication and dissemination of findings. Contribute to supervision or mentoring of undergraduate or postgraduate research students in mathematical or related fields. Work effectively within collaborative research teams while also progressing individual projects with limited supervision. Communicate research clearly in English, both in writing and presentations, to academic and broader audiences. 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% superannuation Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave Salary 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 Company Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - School of Mathematics and Statistics Joining the School of Mathematics and Statistics, you will contribute within one of Australia's leading mathematical sciences communities. The school hosts numerous ARC-funded centres and fellows, with outstanding infrastructure and strong international research collaborations. Within the Faculty of Science, you will join a diverse, supportive environment that values curiosity, excellence and inclusion. 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. This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process. 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.au For 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: Saturday 11 July 11:55 PM; Melbourne time zone. Position Description: JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.doc JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.pdf