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Jyvaskyla University - School of Business and Economics

Jyvaskyla, Finland
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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

Research Fellow / Engineer (Insect Protein Chemistry & Functional Beverage Development) - DJ6

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 Research Fellow / Engineer (Insect Protein Chemistry & Functional Beverage Development) 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 an awarded applied research project on cricket protein (CP)-based functional beverages, focusing on protein chemistry, emulsion engineering, scalable food processing, and consumer acceptance. The appointee will contribute to SIT's sustainable food innovation agenda, working within a multidisciplinary team with access to established research platforms and pilot-scale facilities. Key Responsibilities Characterise insect protein and their hydrolysates for compositional and techno-functional properties under different processing conditions (enzymatic hydrolysis, heating, drying, homogenization) Investigate the impact of food processing on protein-polysaccharide interactions under different food processing conditions. Profile phenolic compound and evaluate the bio-functional properties such as antioxidant activity Identify optimal processing conditions that minimise bioactive losses for functional beverage applications. Design and formulate insect protein-based oil-in-water emulsions for the encapsulation and delivery of bioactives. Develop and optimise functional beverage prototypes that are suitable for industry-scale beverage manufacturing and evaluate their emulsion stability and estimated shelf-life. Conduct in vitro bioaccessibility and bioavailability studies for encapsulated nutrients using existing SIT analytical facilities. Support the design and execution of consumer surveys assessing Singapore consumers' acceptance of foods and beverages. Perform principal component analysis (PCA) and multivariate statistics to identify relationships between demographic factors and product acceptance and integrate findings as feedback for beverage formulation. Prepare scientific manuscripts, technical reports, and progress updates for funding agencies, journals, and stakeholders. Present findings at project meetings, industry engagements, and academic conferences. Supervise and mentor junior researchers, research assistants, and students attached to the project. 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 in Food Science, Food Technology, Food Chemistry, Chemistry, Nutrition, or a closely related discipline. Strong master's or bachelor's degree holders with substantial relevant research experience may be considered for the Engineer grade. Solid grounding in protein chemistry, protein hydrolysis, and structure–function relationships in food systems. Hands-on experience in emulsion formulation and stability characterisation, including droplet size analysis and shelf-life assessment. Familiarity with food processing technologies such as HTST, UHT pasteurisation, drying, heating, and high-pressure or multi-stage homogenisation in beverage or liquid food systems. Working knowledge of biochemical and antioxidant assay methods, HPLC, MS, and their application in food ingredient analysis. Experience with in vitro digestion models and bioaccessibility or bioavailability testing is a strong advantage. Ability to perform quantitative data analysis and multivariate statistics (e.g., PCA); proficiency in Origin, R, or equivalent software for statistical analysis. Strong scientific writing skills with the ability to produce publication-quality manuscripts and clear technical reports. Proactive, detail-oriented, and capable of managing multiple experimental and reporting workstreams simultaneously. Collaborative and able to work independently within a multidisciplinary applied research environment. Good communication and interpersonal skills for engagement with students, colleagues for procurement, risk assessment for lab activities, equipment purchasing and maintenance, industry partners, and funding stakeholders. Strong ownership for leading and delivering projects with project management skills

Salary

Competitive

Posted

11 Jun 2026

Tenure-Track Assistant Professor in the School of Computing and Data Science

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534341 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Professoriate Staff, Teaching Staff Applications are invited for joint appointments as Tenure-Track Assistant Professor (several posts) in the School of Computing and Data Science (Ref.: 534341), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http://www.cds.hku.hk. The Positions We are seeking outstanding interdisciplinary scholars with a focus of Artificial Intelligence, Data Science, Computer Science, or any related field, with the capability in developing creative and innovative research and teaching programme that bridge artificial intelligence with other disciplines. The appointees will have their tenure home in the School of Computing and Data Science, and will be co-hosted by another Faculty/School/Department as appropriate, depending on their expertise and research profile. Requirements Applicants should possess a Ph.D. in a relevant field. The ideal candidate will demonstrate a solid track record in research with a cross-disciplinary approach across multiple subfields; a strong commitment to excellence in research and teaching; and proven academic leadership. What We Offer The successful candidate will be jointly appointed by the School of Computing and Data Science and another Faculty/School/Department. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, professional leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. A start-up package that is commensurate with the needs and experience of the appointee will be provided. How to Apply The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references. Review of applications will commence as soon as possible and continue until September 30, 2026, or until the posts are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Salary

Competitive salary

Posted

11 Jun 2026

Associate Research Scientist in the Division of Science (Mathematics) - Diogo Arsénio

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 Division of Science at New York University Abu Dhabi is inviting applications for Associate Research Scientist positions in the broad research areas of mathematical analysis and partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered, candidates with prior experience in theoretical physics, fluid mechanics, kinetic theory, dispersive equations or harmonic analysis will be given special attention. The Research Associates will be appointed for a duration of two years and will work under the supervision of Associate Professor Diogo Arsénio on subjects including: Magnetohydrodynamics and the mathematical theory of plasmas. Collisional kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with an outstanding academic record, with at least 3 years of experience. The terms of employment are internationally competitive, and they include housing subsidies, as well as educational support for families. Prospective candidates for the position must submit the following items through Interfolio in PDF format: cover letter curriculum vitae including a list of publications transcript of PhD degree or, in case the degree has not yet been formally awarded, evidence of completion of the degree requirements and expected conferral date a brief research statement detailing the applicant’s scientific interests, accomplishments and future research strategies at least two letters of recommendation to be sent confidentially (applicants will be prompted to enter the referee’s e-mails) The screening and assessment of applications will begin immediately and will continue until positions are successfully filled. This position is not in the United States. The applicant must be willing to relocate to Abu Dhabi, United Arab Emirates. For questions, please reach out to Dr. Diogo diogo.arsenio@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

Salary

Competitive

Posted

11 Jun 2026

Research Engineer (Geotechnical) - HJH2

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT. The main responsibility of this position is to deliver on an industry innovation research project. The Research Fellow/Engineer will be a key member of the research team focused on developing a framework for soil conditioning in Singapore soils through a series of experimental investigations. Additionally, they will work on delivering a novel Screw Conveyor Extraction Test (SCET) equipment, crucial for accurately assessing the effectiveness of soil conditioning in tunneling processes. The proposed framework and equipment will be validated at an active tunneling site. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Execute all experiments (e.g. foam stability test, slump test etc.) reliably. Liaise with the industry partner and agency to plan and execute the field trials. Develop the framework for effective soil conditioning in local soils. Design the SCET equipment and liaise with vendors in its manufacture and assembly. Validate the framework and SCET using findings from field tests. Mentor and provide technical guidance to student assistants involved in the research project. Carry out Risk Assessments, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaise with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of the equipment. To liaise with any internal or external stakeholders to ensure project deliverables are met Any other ad-hoc duties assigned by Supervisor. Job Requirements Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling. Prior experience in basic soil characterization and knowledge in basic soil mechanics is required. Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous Knowledge of physical modelling will be advantageous. Key Competencies Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling. Prior experience in basic soil characterization and knowledge in basic soil mechanics is required. Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous Knowledge of physical modelling will be advantageous.

Salary

Competitive

Posted

11 Jun 2026

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