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Principal/Senior Research Fellow - Natural Capital
University of Tasmania
Australia, Hobart
University of Tasmania
Australia, Hobart
Ability to integrate complex biophysical and economic data, translate research into industry‑ready solutions Ability to lead or contribute to large collaborative programs Full time, Fixed-Term 4 Years – Based in Hobart About the opportunity We are seeking an experienced Senior or Principal Research Fellow - Natural Capital to play a key role in advancing a major forest industry research program within the Australian Forest and Wood Innovations (AFWI) Centre for Sustainable Resource and Product Solutions (CSRPS) at the University of Tasmania. This research‑focused role centres on mainstreaming natural capital concepts and practice across the Australian forest industry. The successful candidate will contribute to (Senior level) or lead (Principal level) a multi‑year research program that addresses barriers to industry adoption of natural capital assessment and accounting. This includes developing processes, tools and analytical frameworks that integrate biophysical, spatial, economic and financial data, aligned with emerging international standards. Working closely with industry, government and academic partners, the role aims to strengthen the industry’s ability to quantify, value and manage natural capital, supporting better decision‑making, market development, disclosure and nature‑related transition planning. The position sits at the intersection of science, economics and policy, with a strong emphasis on translating research into practical, industry‑ready outcomes. Relocation and visa sponsorship may be considered for the ideal candidate. What you’ll do: Deliver a natural capital research program for the forest industry, translating international frameworks and standards into practical tools, methods and guidance. Senior: Makes substantial contributions to program deliver. Principal: Leads and is accountable for overall program direction and success. Advance industry adoption of natural capital assessment and accounting by integrating biophysical, spatial, economic and financial data to support decision‑making, markets and disclosure. Senior: Leads defined research streams and applications. Principal: Sets strategic priorities and ensures integration across themes. Produce high‑quality, high‑impact research and secure funding that strengthens UTAS’s leadership at the nature‑economy interface. Senior: Publishes research of national and emerging international standing and contributes to funding success. Principal: Publishes research of established international standing and leads major funding initiatives. Build research capability and culture through supervision, mentoring and collaboration within and across multidisciplinary teams. Senior: Supervises HDR students to successful completion. Principal: Supervises HDR students and mentors postdoctoral and early‑career researchers, providing senior academic leadership. Develop and maintain strong industry, government and research partnerships to maximise research impact and adoption. Senior: Builds productive stakeholder relationships and supports co‑design. Principal: Drives strategic national and international partnerships and profile‑raising activity. What we’re looking for: Doctoral qualification and deep disciplinary expertise in fields such as biological sciences, environmental data systems, ecological economics, modelling and spatial science, or nature‑based markets and innovation. Senior: PhD with strong expertise across at least two relevant fields. Principal: PhD with a substantial, internationally recognised body of expertise across multiple fields. Demonstrated research excellence at the nature–economy interface, with a strong publication record and recognised contributions to natural capital, sustainability or applied environmental research. Senior: Research of national standing and growing international recognition. Principal: Research of established international standing and influence. Proven ability to attract research funding and deliver major projects, including translating complex research into applied, industry‑relevant outcomes. Senior: Successful contributor to competitive grants and funded projects. Principal: Leads major funding bids and provides strategic leadership on funding and research direction. Strong leadership and supervision capability, building research capacity through HDR supervision and collaborative, multidisciplinary teamwork. Senior: Successful supervision of HDR students to completion. Principal: Substantial HDR supervision record, plus mentoring of postdoctoral and early‑career researchers and demonstrated academic leadership. Excellent engagement and communication skills, with the ability to build productive relationships with industry, government and research partners and support research adoption Senior: Builds and maintains effective stakeholder relationships and supports co‑design activities. Principal: Leads strategic national and international partnerships, profile‑raising and industry engagement. Salary details Appointment to this role will be at Academic Level C or D and will have a remuneration range package of between $162,087 - $210,621 comprising base salary within the range of $138,536 to $180,018 plus 17% superannuation. How to Apply To apply online, please provide the following supporting documentation: Resume Cover letter outlining your suitability and motivation for the role Your responses to the success criteria from the Position Description below For further information about this position, please contact Professor Barry Brook, Head of Discipline, Biological Sciences, Barry.Brook@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For current UTAS staff, in submitting your application, you acknowledge you have/intend to discuss your interest in this vacancy with your current manager and understand they may need to be contacted confidentially by the hiring manager as part of the assessment of your application. Please refer to the attached Position Description Below for full details. Link to Position Description to be included here. Applications close Wednesday 27 May 2026, 11.55pm The University of Tasmania acknowledges the Palawa/Pakana and Gadigal/Wangal people as the traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. As part of our commitment to a safe and inclusive workplace, employment history and police checks will be conducted as part of the selection process.
Salary
$162,087 - $180,018 plus 17% superannuation
Posted
17 Apr 2026
Assistant Professor in Applied Mathematics
Masaryk University
Czech Republic, Brno
Masaryk University
Czech Republic, Brno
Department: Department of Mathematics and Statistics – Faculty of Science Deadline: 16 May 2026 Start date: 1. 6. 2026 Job type: part-time Job field: Science and research | Education and schooling Dean of the Faculty of Science, Masaryk University announces an open competition for the position Assistant professor in applied mathematics Workplace: Department of mathematics and statistics, Faculty of Science, Masaryk University, Czech Republic Type of Contract: temporary position with 3-year contract (with possible extension), academic Working Hours: 0.5 FTE (part-time employment of 20 hours per week) Expected Start Date: 1. 6. 2026 or negotiable with respect to immigration timelines for non EU candidates Number of Open Positions: 2 Application Deadline: 16. 5. 2026 EU Researcher Profile: R2 About the Workplace Masaryk University is modern, dynamic and the most attractive university in the Czech Republic with ten faculties, more than 7 000 staff and 33 000 students, a wide range of research areas and a strong international position. We are the largest academic employer in the South Moravian Region. Faculty of Science MU, a holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. Department of mathematics and statistics at the Faculty of Science MU is the faculty’s main mathematics department, providing teaching in all areas of mathematics for most of the university’s faculties. It serves as the center for mathematical research at Masaryk University. Job Description Key Duties: Research in nonlinear dynamics Teaching lectures and seminars in various areas of pure and applied mathematics Supervising and reviewing bachelor’s and master’s theses Skills and Qualifications The applicant must have: PhD in Applied Mathematics Ability to teach in both Czech and English Active publication in journals with an impact factor Deep knowledge in the field of nonlinear dynamics Outstanding international experience and collaboration Informal inquiries about the position can be sent to Prof. Petr Hasil, e-mail hasil@math.muni.cz, phone +420 549 491 480. We Offer An interesting job in a dynamically-expanding university area Flexible working hours and occasional home office to support personal needs in family and career compatibility Employee benefits such as 8 weeks of paid vacation per year, pension insurance contribution/long-term investment product/nursery/children´s group allowance, a financial meal allowance, lunches in canteens of MU, Multisport card, psychological counselling, vaccinations free of charge, discounted language courses, exclusive mobile tariff offer by Vodafone, childcare groups at Campus and Komenského náměstí) Opportunity to work and live in a modern and dynamic city (for more information on costs of living, you can refer to Numbeo) Welcome Office provides support with your relocation to Brno Application Process The application shall be submitted online by 16. 5. 2025 via an e-application, please find the reference to the e-application in the beginning and end of the advertisement. The candidate shall provide following: CV Cover letter describing candidate's research interest and experience Summary of research outputs and publications Names and contact details of at least 2 references. After submitting your application successfully, you will receive an automatic confirmation email from jobs.muni.cz. Selection Process Received applications will be considered carefully in line with principles of the EU Charter and Code for Researchers. Selection criteria: (i) meeting qualification requirements described above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R) can be seen here. Faculty of Science, Masaryk University is an equal opportunity employer. We support diversity and are committed to creating an inclusive environment for all employees. Visit our Career page. We are looking forward to hearing from you!
Salary
Competitive
Posted
17 Apr 2026
Technical Officer (Simulation Health)
Charles Sturt University
Australia, Port Macquarie
Charles Sturt University
Australia, Port Macquarie
Provide specialised technical and laboratory support Specialist focus in Nursing, Paramedicine or Allied Health Promote and support a safe working environment The role Full Time, Continuing Level 5 - $81,999 to $89,521 pa (plus 17% superannuation) Port Macquarie (On campus role) Working as part of the Technical Team in the Faculty of Science and Health you will have responsibilities across all Schools in the Faculty. You will be providing a range of technical and laboratory support including the preparation and breakdown of classes, assistance during classes, safe operation of specialised equipment, maintenance of inventories and assistance with audit and risk management processes. This position has a specialised focus and as such requires skills, qualifications and experience in Nursing, Paramedicine or Allied Health. As part of this recruitment, a pre-employment functional screening is required. About you Qualification and/or relevant experience in Nursing, Paramedicine or Allied Health Demonstrated experience operating and maintaining specialised equipment Strong knowledge of WHS, risk management and safe handling of hazardous/biological materials Proven organisational skills and ability to work in a busy environment Ability to work both independently and as part of a team About us We are a university of the land and people of our regions. True to the character of regional Australia we have gumption, we have soul and we collaborate with others. We develop holistic, far-sighted people who help their communities grow and flourish. The Wiradjuri phrase yindyamarra winhanganha means the wisdom of respectfully knowing how to live well in a world worth living in. This phrase represents who we are at Charles Sturt University - our ethos. It comes from traditional Indigenous Australian knowledge, but it also speaks to the mission of universities - to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. Learn more about the Faculty of Science and Health here. Visit our website to learn about our great range of employee benefits. Charles Sturt University is committed to building a diverse workforce as shown through our Athena Swan Bronze Award, our Australian Workplace Equality Index Bronze Award and our membership of a range of diversity focused organisations including Diversity Council Australia and Pride in Diversity. We encourage applications from First Nations people, carers, people from culturally and linguistically diverse backgrounds, people with disability, neurodivergent people, and people of all age groups, genders and sexualities for all roles. To apply Click the Apply button and complete your application online, submit a "statement of suitability" demonstrating your skills, knowledge and/or experience relevant to the position (referencing the selection criteria in the position description) and upload your CV. If you experience difficulties applying online or for further information on completing the application process please visit our how to apply page or contact us. This position is open to Australian Citizens and Permanent Residents; or applicants who hold a current valid work visa commensurate with this position. Further information Additional information is available in the position description or by contacting: Kylie Kent | Technical Manager (Albury-Wodonga and Port Macquarie) | kkent@csu.edu.au | Ph: (02) 6051 9842 Closing Date: 11pm, 10 May 2026
Salary
$81,999 to $89,521 pa (plus 17% superannuation)
Posted
17 Apr 2026
Lecturer (ARTT), Academy of Visual Arts
Hong Kong Baptist University
Hong Kong
Hong Kong Baptist University
Hong Kong
Job Description SCHOOL OF CREATIVE ARTS ACADEMY OF VISUAL ARTS Part-time Lecturer (25260664) The Academy of Visual Arts is the first-of-its-kind local institution in delivering Arts and Technology education, which is looking for Part-time Lecturer(s) to teach the course(s) at undergraduate level in the following areas: Unreal VR technology Digital media and fabrication Creative computation Any other related disciplines The ideal candidate should hold a master’s degree or above in related disciplines, with 3 years of experience in creative industries with aspects of content development, budgeting, licensing, administration, marketing, or audience engagement, preferably with teaching experience at the university level. A good command of English and Chinese, excellent communication skills, and a strong sense of responsibility are required. Duties may also include supervision of students, marking of examination papers, and any other work as assigned by the Programme Director and Director of the Academy. The initial appointment will be offered on a part-time basis commencing Sep 2026. Re-appointment thereafter will be subject to performance review and course availability. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for an interview 8 weeks after submission of the application may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.
Salary
Competitive
Posted
17 Apr 2026
Research Fellow / Research Engineer (AI for Civil Engineering) - MM1
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met. Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel. Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders. Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent. Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development). Experience in handling real-world datasets and model development/deployment workflows. Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis. Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage. Strong background in structural engineering, structural mechanics, or steel structures. Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable. Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams. Strong analytical and conceptual abilities; able to work both in a team and independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able to build and maintain strong working relationships with people within and external to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.
Salary
Competitive
Posted
17 Apr 2026