Wrocław University of Environmental and Life Sciences
About Wrocław University of Environmental and Life Sciences
Basic information and contact details for Wrocław University of Environmental and Life Sciences
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Key Student Statistics
A breakdown of student statistics at Wrocław University of Environmental and Life Sciences
- Student gender ratio
- 67 F : 33 M (1)
- International student percentage
- 6% (1)
- Students per staff
- 11.9 (1)
- Student total
- 6399 (1)
Based on data collected for the (1) World University Rankings 2026
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Research Advisor
The Australian National University
Australia, Canberra
The Australian National University
Australia, Canberra
Classification: ANU Officer 7 (Research) Salary package: $107,850 - $113,252 per annum plus 17% superannuation Term: Full-time, Continuing (Contingent Funded) Position Description and Selection Criteria: PD_ANUO7 RO PD and PEWER.pdf This position is Continuing (Contingent Funded). The funding that supports this project has an expected end date of 28 February 2030. Contribute to research and policy advice with a focus on ANU-UPNG Partnership Enjoy generous benefits including 17% superannuation Work in a beautiful campus environment on the city’s doorstep About Us The ANU College of Law, Governance and Public Policy (CLGP) is a progressive and newly established College that brings together four world-leading academic schools dedicated to shaping the future of law, governance, regulation, policy and population health. As part of Australia’s leading university, the College fosters excellence in research, teaching, and engagement, driving impactful contributions to national and global challenges. The College provides an intellectually rich community, committed to providing a collaborative and supportive environment for academics, students, and professionals to thrive. The Crawford School of Public Policy is one of four Schools within CLGP and one of the world’s leading public policy schools. The Crawford School is the University's focal point for contributing to public policy research, education and policy impact. Its graduate programs have trained many of the region’s leaders, and its research has impacted on policy making. Public policy scholarship at Crawford School is characterized by high quality, policy-relevant research across a range of disciplines. The Development Policy Centre (Devpol) is a research centre within the Crawford School of Public Policy with a focus on Australian aid, the Pacific and PNG, and global development policy. The Position The Research Advisor works closely with the Centre’s Director as part of the research team, contributing to the design and implementation of research as part of the ANU-UPNG Partnership and liaising with a wide range of stakeholders. The Research Advisor provides high level quantitative data analysis and policy analysis to write and produce research articles and blogs, including coordinating support aspects of allocated research activities. This position may be required to supervise and mentor junior staff and interns, and collaborate with UPNG colleagues. Our Ideal Candidate We are seeking a postdoctoral researcher with expertise and/or interest in PNG and Pacific economies. Our ideal candidate is someone with experience in project management and who is keen to work as part of a diverse research team. Enquiries To enquire about this opportunity, please contact Soonha Jeon, Program Officer. E: soonha.jeon@anu.edu.au The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion How to Apply In order to apply for this role, please make sure that you upload the following documents: A statement addressing the selection criteria (Maximum two A4 pages). A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. Other documents, if required. Applications that do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have the right to live and work in this country. The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.
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$107,850 - $113,252 per annum plus 17% superannuation
Posted
27 May 2026
Lecturer, Dentistry and Oral Health (TF)
La Trobe University
Australia, Bendigo
La Trobe University
Australia, Bendigo
Part time (0.6 FTE) Continuing Bendigo Campus Salary $118,530 - $139,974 plus 17% superannuation (pro rata) About the position The La Trobe Rural Health School is the largest rural health school in Australia, operating across Bendigo, Mildura, Shepparton, Albury-Wodonga, Singapore and online. The school delivers a broad range of programs including dentistry, oral health, nursing, midwifery, paramedicine, pharmacy, biomedical sciences (onshore and offshore), and allied health disciplines, with a strong commitment to rural and regional health outcomes. A Level B academic with a Teaching-Focused appointment works with a high level of autonomy and is expected to make a sustained contribution to learning and teaching excellence. Responsibilities include curriculum development, subject coordination, teaching, and student support, alongside scholarly activity in the Scholarship of Learning and Teaching (SoLT). The appointee will teach within academic, clinical and simulation environments aligned with professional accreditation requirements. Teaching Focused academic staff also contribute to the administrative and service activities of the discipline and support innovation, evaluation and continuous improvement in learning and teaching practice. Skills and Experience To be considered for this position, you will have: A Ph.D. or equivalent accreditation and standing recognised by the University and the dentistry and oral health profession. Demonstrated effectiveness in teaching, curriculum development and subject coordination across face-to-face, blended and/or online delivery modes, evidenced by strong student feedback, teaching awards or equivalent forms of evidence. Demonstrated innovation in teaching practice within the last three years that has improved the student experience, including evaluation of their effectiveness. Demonstrated knowledge of competency standards and their assessment as they apply to Oral Health Therapy and/or Dentistry Please refer to the Position Description for other duties, skills and experience required for this position. PD - Lecturer-Dentistry and Oral Health.pdf Benefits 17% employer contributed superannuation Private Health Insurance discount Plus, many more, click HERE How to apply Closing date: By 11:55pm on Tuesday 23rd June 2026 Position Enquiries: Lisa Hanson, Head of Dept of Rural Clinical Sciences Email: L.Hanson@latrobe.edu.au Recruitment Enquiries: recruitment@latrobe.edu.au Only candidates with Full Working Rights in Australia may apply for this position. Please submit an online application ONLY and include the following documents: Cover letter; An up-to-date resume; and A separate document addressing each bullet point under the Essential Criteria ‘Skills and knowledge required for the position’, which is located in the position description. Please scroll down to apply. Aboriginal and Torres Strait Islander Applicants We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people. Our commitment to diversity and inclusion La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. Our commitment to safety All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. National Code on Gender Based Violence in Higher Education La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.
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$118,530 - $139,974 plus 17% superannuation (pro rata)
Posted
27 May 2026
IWRI - Postdoctoral Position in Hybrid Machine Learning – Physics Modeling
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About IWRI: The International Water Research Institute (IWRI) provides research, education, and innovation in the fields of water and climate. In order to face the next challenges. IWRI seeks to rethink and adapt research development, innovation, and training to new paradigms. It is an institute that outlines forward-thinking pathways to address water issues in a systemic manner in Africa. IWRI's vision is to Lead and develop integrated research and processes for Water & Climate concerns in Africa. We act as an African water hub through strategic cooperation and partnerships. We share comprehensive and diverse expertise to provide scientific information by focusing on four pillars: Integrated water resources management, Climate change and adaptation, Hydroinformatics, and Water technologies. Position Summary: The International Water Research Institute (IWRI) of the College of Agriculture and Environmental Sciences (CAES) at UM6P invites applications for a postdoctoral researcher position in hybrid machine learning-physics based modeling of hydroclimatic extremes in data scarce regions. The postdoctoral researcher will develop innovative hybrid machine learning-physics based modeling approaches to improve the understanding and prediction of hydroclimatic extremes in data-scarce regions, with a primary focus on Morocco. The position aims to advance methods that integrate data-driven algorithms with physically based hydrological and climate models under conditions of limited observations, while ensuring that the resulting tools are both scientifically robust and operationally relevant. A key component of the role is the translation of model outputs into actionable information for stakeholders, particularly water resource managers and planning authorities, and the evaluation of long-term water management strategies aimed at mitigating water scarcity. The project also includes assessing the transferability of the developed approaches to other regions facing similar constraints. Scientific context: Hydroclimatic extremes such as droughts and floods are intensifying under climate variability and change, particularly in regions where observational data are sparse and monitoring systems are limited. In such context, traditional physically based models are often constrained by insufficient data, while purely data-driven approaches may lack physical consistency and generalizability. Hybrid modeling frameworks that combine machine learning with process-based understanding offer a promising pathway to overcome these limitations. Morocco provides a compelling case study, given its pronounced hydroclimatic variability, increasing water stress, and ongoing investments in large-scale water management strategies. However, significant challenges remain in reliably predicting extreme events and assessing long-term adaptation options under deep uncertainty and data scarcity. Research Scope: The project will focus on the development of a new generation of hybrid modeling approaches that couple advanced machine learning methods with hydrological and/or climate models. Emphasis will be placed on designing approaches that are robust to data scarcity through the integration of heterogeneous data sources, including remote sensing products, reanalysis datasets, and sparse in-situ observations, as well as techniques such as transfer learning and uncertainty quantification. The research will address the detection, attribution and prediction of hydroclimatic extremes under non-stationary conditions and evalaute model performance over Morocco as a primary testbed. A central components of the work will invovle translating model outputs into decision-relevant indicators and assessin the feasibility and robustness of long-term water maangemnt strategies currently under consideration. The transferability of the developed methods to other regions will also be systematically investigated. Candidate Profile: PhD in hydrology, climate science, geosciences, applied mathematics, computer science or related field Expertise in mahcine learning, physically based modeling or hybrid approaches combining boths Strong programming skills (Python, MATLAB, Fortran, or similar) and familiarity with ML frameworks. Experience with hydroclimatic data, including remote sensing products, reanalysis datasets and/or in-situ observations Knowledge of uncertainty quantification, data assimilation, or transfer learning is a strong advantage. Proven ability to handle HPC environements is an added asset Demonstrated ability to develop and evaluate models under data-scarce conditions. Ability to communicate results to both scientific and non-technical stakeholders, including water managers and policy actors.
Salary
Competitive
Posted
27 May 2026
Senior Lecturer/ Associate Professor - Structural Engineering
Monash University
Australia
Monash University
Australia
Job No.: 693983 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $150,841 - $173,931 pa Level C OR $181,629 - $200,092 pa Level D (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Civil and Environmental Engineering at Monash University is seeking to extend the strategic capability of its Structural Engineering group. We are inviting applications for one pivotal academic position: an Associate Professor (Level D) or a Senior Lecturer (Level C). This role is intended to broaden our existing strengths through an established and externally funded research program in areas such as reliability-based design and assessment, modular construction, timber structures, fire engineering, sustainability of structures, blast and impact loading, or AI in structural engineering. Senior Lecturer (Level C): Contribute substantially to teaching, research, and professional activities. You will take primary responsibility for teaching building structures and structural analysis across undergraduate and postgraduate programs, while supervising higher degree by research candidates and actively contributing to the academic life of the Department. Associate Professor (Level D): Provide high-level academic leadership and significant disciplinary contribution nationally and internationally. Recognized for distinction in your field, you will lead higher degree by research supervision, maintain sustained industry engagement, and deliver significant teaching in building structures and structural analysis. About Monash University At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy. In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026. Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash. Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents. To Apply For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Your application must address the Key Selection Criteria. Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Prof Ha H. Bui, Head of Department, Civil & Environmental Engineering, ha.bui@monash.edu Position Description: Senior Lecturer Associate Professor Applications Close: Wednesday, 10 June 2026, 11:55 pm AEDT
Salary
Competitive
Posted
27 May 2026
Assistant Professor / Associate Professor / Professor in Robotics and Embodied AI
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is expanding its Robotics and Embodied AI (EAI) capabilities, building a cohort of academic staff who are keen and experienced working on industry problems in relevant areas. At SIT, Robotics and Embodied AI faculty will have the opportunity to shape and lead applied research in a unique real-world environment. Located within Punggol Digital District (PDD), SIT’s purpose-built campus serves as a living lab for precinct-scale robotics test-bedding, where faculty can work with government and industry partners to develop, validate and deploy next-generation robotic systems safely and at scale. Candidates will contribute to industry-relevant research in embodied AI, simulation and digital twins, cybersecurity, robot operations and related areas, with a strong emphasis on translation into real-world applications. Through collaborations with leading robot companies and end-users, faculty will help solve practical deployment challenges, build shared digital infrastructure, and train the next generation of robotics talent for Singapore’s future economy. Responsibilities: Lead and contribute to applied research projects with industry partners and government agencies. Develop and teach Robotics and Embodied AI courses within the cluster’s programmes and across relevant interdisciplinary modules. Supervise Industry Doctorate/Masters and capstone projects in collaboration with domain faculty and industry partners. Contribute to SIT’s continuing education offerings. Serve as embodied AI mentor for existing SIT domain faculty through joint projects and co-supervision mechanisms. Qualifications: PhD in Robotics, Mechanical/Electronics Engineering, Computer Science, or a relevant domain with demonstrated embodied AI research experience. Equivalent industry experience may also be considered. Technical expertise and track record in the following areas (ideally at least two): Policy Learning and Robotics Control: Imitation / reinforcement learning, generative policies, residual learning, cross-embodiment generalisation. Robotics Data Engineering: Data capture, synchronisation, calibration, evaluation harnesses and simulation data pipelines Foundation Models & World Models for Robotics: VLA grounding, planning interfaces and world-model reasoning for robots State Estimation, Perception and Sensor Fusion: 3D scene understanding, diagnostics, active and manipulation-centric perception System Integration, Deployment & RobotOps: ROS2 systems integration, runtime robustness, safety and field deployment engineering Swarm Robotics & Multi-Agent Systems: Decentralised coordination, shared mapping and resilient communications Fleet Management & Remote Operations: Mission control, tele-operation, network resilience and lifecycle operations Cyber-Physical Security & Trustworthy Robotics: Threat modelling, resilience, incident response, AI ethics and data privacy Experience applying embodied AI to real-world use areas will be advantageous, such as (non-exhaustive): Facility Management Healthcare Advanced Manufacturing Urban Systems Biotechnology & Chemical Engineering Demonstrated leadership and evidence of working on industry/society-defined problems Strong connections with international partners and organisations will be advantageous. Experience with industry research collaborations, applied research grants, and/or system deployment Established thought leadership and/or professional standing e.g. publications in top journals and keynotes, in addition to non-publication outputs and impact such as open-source tools, technical reports, patents, deployed systems Demonstrated track record of cross-disciplinary collaborations Ability to communicate clearly with domain experts, industry practitioners and general public What SIT offers: An applied research environment, working together with industry partners, to tackle real-world problems SIT values applied research impact and evaluates faculty accordingly on how their research had made a difference to society or industry Opportunities to work on a coherent robotics & embodied AI research agenda with colleagues across disciplines Access to Punggol Digital District ecosystem as testbeds for applied research A meaningful role in building Singapore’s robotics & embodied AI research capability at a pivotal moment Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub How to apply: Candidates should submit the following: Curriculum vitae including grants, outputs (code, datasets, patents, technical disclosures) and publications Cover Letter Research statement (up to 2 pages) addressing your applied AI research programme, how it connects to SIT’s cluster context, and your experience with industry-connected research Teaching statement (up to 1 page) addressing your approach to applied learning Three highlights of research outputs with a brief explanation of each output’s impact
Salary
Competitive
Posted
27 May 2026
Subjects Taught at Wrocław University of Environmental and Life Sciences
See below for a range of subjects taught at Wrocław University of Environmental and Life Sciences
Engineering
- Civil Engineering
- Mechanical and Aerospace Engineering
Life Sciences
- Agriculture and Forestry
- Biological Sciences
- Veterinary Science
Physical Sciences
- Geology, Environmental, Earth and Marine Sciences
Social Sciences
- Geography