Isfahan University of Medical Sciences

Based at School of Computer Science and Information technology, Mawson Lakes campus Work on cutting-edge energy reliability research Full-time (1.0 FTE), fixed term contract until 30 June 2027 Salary Range: $102,024 to $109,307 per annum (plus 17% Superannuation) Contribute to the development of dynamic risk and optimisation models that improve maintenance planning and asset reliability in industrial and energy sectors. Collaborate with researchers and industry partners to deliver practical, data-driven solutions for reliability and risk-informed decision-making. At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters This role contributes to the Future Energy Exports CRC project within the Industrial AI Research Centre by advancing risk-informed approaches to maintenance planning in industrial facilities. Your work will support the development of dynamic risk models and optimisation methods that improve asset reliability, particularly in environments with limited data. You will help deliver scalable, practical solutions that enhance maintenance decision-making and reliability outcomes across large industrial organisations, including energy producers. Curious to learn more? Explore the position description/selection criteria above to discover more about this opportunity. The team This role sits within a collaborative research team of the Industrial AI Research Centre working on the Future Energy Exports CRC project, focused on reliability engineering and risk optimisation. The team develops and applies dynamic risk models, integrating operational reliability data with maintenance planning processes. Working closely with academic colleagues and industry partners, the team focuses on extending optimisation approaches, addressing data limitations, and implementing prototype solutions for piloting in real-world industrial environments. Visit the AU website to learn more about this research area. Our people Contribute to the development of dynamic risk and optimisation models that improve maintenance planning and asset reliability in industrial and energy sectors. Collaborate with researchers and industry partners to deliver practical, data-driven solutions for reliability and risk-informed decision-making. This role is ideal for someone who enjoys tackling complex challenges and working across both research and industry environments. You will engage with a variety of stakeholders and contribute to meaningful, applied outcomes. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To thrive in this role, you will likely have the following skills and experience: A recent PhD graduate in computer science, engineering and supply networks, artificial intelligence, machine learning, or a closely related field. Knowledge of and experience with Mixed Integer Linear Programming optimisation, machine learning, or similar methods. Experience with implementing AI, data science, and/or machine learning solutions in Python. Proven ability to analyse complex systems and develop practical solutions to challenges such as limited or sparse data availability. Strong problem-solving skills, with the ability to extend and adapt existing methodologies (such as optimisation approaches) to new or large-scale applications. Experience in implementing or prototyping technical solutions, with an understanding of how to translate research outcomes into real-world industry environments. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Build on your career with Adelaide University now Simply click on the Apply Now button and upload: your current CV a cover letter that tells us why you’re excited about the role The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm Friday 17 July 2026 For further information about this opportunity, please contact (quoting reference number 492778): Simone Patterson Talent Acquisition Adviser +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

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 ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: The successful candidate will: Conduct original and high-quality research in adsorption-based separation and/or membrane technology. Develop novel adsorbents and/or membranes for gas or liquid storage and separation applications. Characterize adsorption and transport properties using advanced analytical techniques. Prepare high-impact research papers for publication in leading peer-reviewed journals and present findings at international conferences, workshops, and meetings. Collaborate with multidisciplinary teams and engage in knowledge exchange with industry and academic partners. Contribute to the preparation of research proposals for external funding. Support the supervision of graduate students and assist in guiding their research projects. Assist in the development of undergraduate and postgraduate courses and modules. Facilitate the acquisition of necessary laboratory equipment and interact with international suppliers when required. Candidate Profile: The ideal candidate should have a strong background in Chemical Engineering, Materials Science, or a related field with expertise in adsorption and/or membrane-based separation technologies. The following qualifications and skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment, or CO₂ capture). Strong knowledge of adsorption isotherm models, mass transport mechanisms, and surface chemistry. Experience in synthesis, functionalization, and characterization of adsorbents or membranes. Proficiency in advanced characterization techniques, such as BET, FTIR, XRD, SEM, TEM, TGA, ICP, and gas sorption analysis. Good understanding of process design for adsorption or membrane-based separation. Strong track record of publications in reputable peer-reviewed journals. Excellent communication skills (oral and written) in English. Ability to work independently as well as in a multidisciplinary research team. Prior experience in student supervision and research coordination is a plus.  Candidature Submission: Applicants should submit the following documents: Cover letter outlining research experience, achievements, and future research interests. Curriculum Vitae (CV) detailing academic and research experience. List of publications in peer-reviewed journals. Contact information of three referees (who are not current UM6P faculty). Recommendation letters (if available).

Job Title: Postdoctoral Researcher – Energy engineering and monitoring of solar panel performance in semi-arid environments Duration: 12 months, renewable Position Summary: We are seeking a docotor in energy to join our research team as a Postodoctoral researcher. The position focuses on studying the performance of photovoltaic solar panels installed on post-mining sites, in relation to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic stress. Responsibilities: Monitoring PV panels: temperature, efficiency, dust accumulation. Using environmental sensors and thermal cameras (UAV/IR). Comparative analysis of PV configurations: with vs. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local conditions. Participating in the writing of scientific and technical deliverables. Compiling, analyzing, and documenting experimental research results. Working closely with project partners. Candidate Profile: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis, thermography, and field measurements. Teamwork and collaborative problem-solving abilities. Strong written and verbal communication skills in English and French. Application Package: Cover letter Detailed CV List of publications Copies of degrees Professional references (minimum of 2)