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South China Agricultural University

Guangzhou, China
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Teaching and Learning Specialist (Open Rank) | Hilary Ballon Center for Teaching and Learning

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


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

Salary

Competitive

Posted

11 Jun 2026

Research Fellow (Oral Processing) - DJ3

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Schemes of Service: Research Division: Food, Chemical and Biotechnology Employment Type: Fixed Term As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing research projects with strong industry relevance, focusing on product development, process optimization, and food characterization. Key Responsibilities Lead and manage fundamental research projects on mechanical and textural characterisation of meat and novel foods in close collaboration with Principal Investigators, co-PIs, and academic partners from NTU and A*STAR. Establish a nanomechanical and macro textural foundation for small sample cultivated meat using advanced tools such as AFM, micro-indentation, and micro texture analysers (e.g., TA.XT plus), Confocal Laser Microscopy Imaging etc for the purpose of quantification of hardness, chewiness, springiness, fracture stress, and fracture strain for small sizes of food samples Compare the feasibility, resolution, and accuracy of AFM, indenters, and micro-TA probe type systems specifically for characterising cultivated meat, contributing method development knowledge to the field. Deploy dynamic oral processing simulation platforms, including tribology, Kramer shear cell testing, and mastication simulators to investigate breakdown characteristics, brittleness vs. plasticity, and frictional/lubrication properties. Generate mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling quantitative comparison between cultivated meat and conventional animal meat, and identify key textural descriptors defining equivalence. Develop novel experimental or analytical methodologies to address current gaps in small sample meat texture characterisation and oral processing simulation. Consolidate experimental data into robust evidence packages for academic publications, grant reporting, and translational research decisions. Coordinate project timelines, milestones, resource allocation, procurement, and compliance with institutional and ethical requirements. Prepare and submit high quality scientific manuscripts to peer reviewed journals, as well as technical reports, progress updates, and final deliverables for funding agencies. Engage actively with internal and external academic collaborators, organise progress meetings, and contribute to technology transfer where relevant to open science or public benefit. Present research outcomes at international conferences, academic seminars, and stakeholder meetings, and contribute to outreach through approved communication channels. The candidate is to communicate with all relevant internal and external stakeholders as required to meet the project deliverables. Any other adhoc duties assigned by supervisor. Job Requirements PhD or Doctoral Degrees in Food Science, Food Technology, Food Engineering, Physics, Material Science, Mechanical Engineering, Biomaterials, Biological Engineering or a closely related discipline. Strong background in mechanical properties of soft matter, food texture analysis, or biopolymer/tissue mechanics, with demonstrable experience in cultivated meat, plant-based meat analogues, or animal tissue characterisation. Hands on experience with mechanical characterisation tools (AFM, indentation, DMA, texture analysers, rheometer and tribology, CLSM, low field NMR) and a solid understanding of fracture mechanics (stress/strain, hardness, chewiness, springiness). Proficiency in oral processing simulation techniques such as tribology, Kramer shear testing, and/or mastication simulators, with the ability to interpret breakdown and lubrication behaviour in a mechanistic context. Competence in multivariate statistical analysis, particularly PCA, 3D PCA, or other dimensionality reduction methods for integrating complex, multimodal datasets. Experience working with limited sample volumes, and ability to design robust experimental protocols for small batch cultivated meat production. Evidence of scientific productivity, including first-author publications in peer-reviewed journals, conference presentations, or equivalent outputs. Ability to translate complex experimental outcomes into testable hypotheses and conceptual frameworks, rather than product-focused deliverables. Strong project ownership and autonomy, with capacity to balance scientific depth, reproducibility, and methodological rigour. Excellent scientific writing skills, with proven ability to prepare manuscripts, funding proposals, and technical documentation. Detail-oriented, self-motivated, and capable of working independently as well as collaboratively within multidisciplinary academic teams when under stress. Good communication and stakeholder management skills, including liaison with lab and equipment managers, finance and procurement team, equipment vendors, and external academic partners.

Salary

Competitive

Posted

11 Jun 2026

Lecturer (Teaching & Administration), School of Mathematics and Statistics

UNIVERSITY OF CANTERBURY

University of Canterbury

New Zealand, Christchurch

institution

University of Canterbury

New Zealand, Christchurch


Te Kaupeka Pūhanga | Faculty of Engineering Te Kura Pāngarau | School of Mathematics and Statistics Located in Ōtautahi - Christchurch, Aotearoa - New Zealand Full-time, 37.5 hours per week (1.0 FTE) Continuing (permanent) position Generous annual leave provisions and professional development opportunities Āu Mahi | What You Will Do We have an exciting opportunity for a Lecturer (Teaching & Administration) to support our programmes in the School of Mathematics and Statistics. The team has a wide range of responsibilities, including supporting students, teaching, tutoring, and developing resources. You will be involved in student support and teaching at undergraduate and postgraduate levels. In this role, you will: Deliver high-quality undergraduate and postgraduate teaching into our programmes, both at UC's Christchurch campus and at offshore locations with our partner organisations. Support learners across multiple modes of delivery, including on-campus, distance, and online. Engage with the School's Transnational Education (TNE) programme, with leadership and coordination responsibilities. Coordinate online and face-to-face engagement activities that support TNE students' connection with UC and readiness for transfer. Be a first point of contact, providing pastoral care and programme support to international students coming in via our TNE pathway from our partner universities. Special Role Requirements This position includes teaching responsibilities offshore, contributing to the joint education programme between the University of Canterbury and Qufu Normal University, Shandong Province, China. Mōu | Who You Are You have expertise in data science and a passion for teaching, research, and supporting student success. You will bring: An MSc or PhD in mathematics, statistics, data science, computer science, or a closely related discipline. Demonstrated experience in delivering effective teaching at tertiary level that allow a wide range of learners to succeed. Excellent oral and written communication skills, effective time management, and familiarity with digital technology. Enthusiasm for supporting students in a multicultural environment. Ability to provide academic, pastoral, and programme support to international tertiary students. A collegial approach and willingness to contribute to School and University service. Commitment to equity, diversity, and inclusion, and respect for Aotearoa New Zealand's bicultural heritage and Te Tiriti o Waitangi. Mahi Ngātahi | Who You Will Work With The School of Mathematics and Statistics sits at the heart of the University, teaching into programmes across campus and spanning a wide range of disciplines. We offer a variety of degrees in Mathematics, Statistics, Financial Engineering, and Data Science. We aspire to be a productive, dynamic, and inspiring community, committed to maintaining a collegial and supportive environment where staff at all career stages are encouraged to grow, collaborate, and do their best work. Ngā Painga o UC | Why UC Tangata Tū, Tangata Ora - Engaged, Empowered, Making a Difference. We believe in creating a welcoming and empowering workplace where everyone feels valued. Our values of manaakitanga (care and respect), whanaungatanga (connection and belonging), and tiakitanga (stewardship and sustainability) guide our actions and reflect our dedication to fostering compassion, collaboration, and excellence. We are deeply committed to accessible higher education and breaking down barriers related to distance, financial means, gender, or ethnicity. We empower our graduates and staff to make a real impact in their communities and beyond. What We Offer UC provides a flexible and family-friendly working environment with benefits that support wellbeing, career progression, and work-life balance, including: Parental leave benefits, including nine weeks of paid UC parental leave and 26 weeks of Government-paid parental leave. Relocation support for international and domestic candidates. Generous leave policies, including five weeks' annual leave and five additional University holidays. Flexible working arrangements. Opportunities for professional development and continuous learning. Onsite paid childcare facilities to help balance work and family life. Generous employer contributions to superannuation (up to 6.75%). A unique working environment on a beautiful campus, with access to facilities such as the recreation centre, Staff Club, and onsite cafés and eateries at discounted rates. For more information on our benefits, please visit https://www.canterbury.ac.nz/joinus/benefits/. This role sits within the Academic Staff, Associated Staff and Support Staff Collective Agreement, and the following salary scale applies: Lecturer (Teaching and Administration) $70,258 - $123,687. The closing date for this position is: Sunday, 28 June 2026 (midnight NZ time) Please note that applications will be reviewed after the closing date. Pēhea te tono mai | How You Apply Applications for this position must be submitted on our careers website and should include the following: A cover letter, including your reflections on relevant multicultural aspects of student support and ways you could contribute to international student exchange and engagement in our School (maximum one page), and a statement outlining your teaching philosophy, approach, and experience across different modes of delivery (maximum one page), combined into one document. A resume. Please note: there are only two upload fields, so please amalgamate the above requested documents into two documents (preferably PDFs). We do not accept applications by email. However, we are happy to answer any queries at WorkatUC@canterbury.ac.nz. For further information specifically about the role, please contact Clemency Montelle, Head of School, Mathematics and Statistics, at clemency.montelle@canterbury.ac.nz. For overseas applicants, please visit Immigration New Zealand to review the latest health and visa requirements for visiting and working in New Zealand.

Salary

$70,258 - $123,687

Posted

11 Jun 2026

University Assistant Postdoctoral, Teacher Education

UNIVERSITY OF VIENNA

University of Vienna

Austria, Vienna Danubepier Hov

institution

University of Vienna

Austria, Vienna Danubepier Hov


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

Salary

Competitive

Posted

11 Jun 2026

Research Engineer (Inspection Technologies) - LYB5

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in its research pursuits. Our research staff have the opportunity to develop industry-relevant applied research capabilities while contributing to impactful research projects at SIT. We are seeking a Research Engineer with expertise and experience in inspection technologies to join an applied research project related to infrastructure maintenance. The successful candidate will work closely with the research team to investigate, test, and implement novel inspection solutions for an embodied AI-enabled robotic system for urban infrastructure maintenance. Key Responsibilities Learn and review inspection technologies for detecting defects at concrete pavers through literature studies Design and prototype a mobile inspection cart for pavers used at residential estates Evaluate and integrate test technologies from machine vision, thermography, and ground penetrating radar onto the inspection cart Conduct lab and field trials to progressively improve the functionality and practicality of the inspection cart Collect and analyse test data from the applied inspection technologies to measure their effectiveness in paver defect detection Prepare and contribute to technical documentation of the research project through reports and publications Supervise and mentor undergraduate students involved in the project Carry out risk assessment and ensure compliance with Work, Safety and Health regulations Requirements Bachelor’s degree or higher in Mechanical Engineering or a related field Technical skills in Computer-Aided Design (CAD) and Prototyping are essential Preferred Skillsets (Advantageous) Theoretical knowledge and interest in inspection technologies for defect detection Experience applying machine vision, thermography and/or ground penetrating radar

Salary

Competitive

Posted

11 Jun 2026

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