The University of Shiga Prefecture

Position Overview: Mohammed VI Polytechnic University (UM6P) invites applications for a highly qualified Postdoctoral Researcher to join our research initiative focusing on the integration of Artificial Intelligence (AI) in Chemical Process Systems Engineering (CPSE). The position addresses key challenges in process intensification, sustainability, and advanced process control, aiming to develop AI-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart manufacturing systems, aligned with Industry 4.0 paradigms, and target applications in sustainable energy production, green chemistry, circular economy, and carbon capture, utilization and storage (CCUS). Scientific Challenges Addressed in the Position: Non-linear and dynamic system modeling of chemical processes involving complex thermodynamics and transport phenomena. Optimization under uncertainty and robust decision-making for process design and operational strategies. Integration of first-principles (mechanistic) models with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process management. Addressing data sparsity and data quality issues in industrial process data streams for reliable AI model training. Design of digital twins for process monitoring, fault diagnosis, and predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks and grey-box modeling) to enable predictive simulations of chemical and biochemical processes. Construct multi-objective optimization frameworks (Pareto optimization) to evaluate trade-offs among economic, energy efficiency, and environmental performance metrics. Utilize reinforcement learning (RL) and deep reinforcement learning (DRL) for autonomous process management, dynamic resource distribution, and real-time decision-making. Design and deploy digital twins for integrated chemical processes for virtual commissioning and optimization. Examine extensive heterogeneous data sets (including historical process data, sensor data, and laboratory findings) using advanced AI approaches such as unsupervised learning, transfer learning, and anomaly detection. Collaborate with process engineers and experimentalists to validate models, demonstrate them at pilot scales, and transfer technology to industry partners. Share research results through peer-reviewed publications, conference talks, and patent filings when relevant. Oversee graduate students and support capacity building in AI for CPSE at UM6P. Required Qualifications: Ph.D. in Chemical Engineering, Process Systems Engineering, Artificial Intelligence, Data Science, or a related discipline. Proven experience in process modeling (steady-state and dynamic) using simulation software such as Aspen Plus, gPROMS, or COMSOL Multiphysics. Solid understanding of process control strategies, including model predictive control (MPC), nonlinear control, and optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and reinforcement learning algorithms applied to chemical processes. Track record of scientific publications in peer-reviewed journals in AI, chemical engineering, or process systems engineering. Excellent communication skills and ability to collaborate in multidisciplinary and international teams. Application Process: Candidates are invited to submit the following documents (compiled in a single PDF): A cover letter outlining their research vision, motivation, and relevant experiences. A comprehensive Curriculum Vitae (CV) including a list of publications and any patents. Contact details of two academic referees. 

Department: Innovation Value Institute Services Vacancy ID: 039884 Closing Date: 22-Feb-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking a Research Fellow to join the Green Talent – Building Capacity and Partnerships for Systemic Solutions to the Climate and Biodiversity Crises project team. Green Talent is a 48 month EU Horizon Europe funded project coordinated by Ecostack Innovations in Malta, which ends May 30th, 2029. The researcher will support the principal investigator at Maynooth University (Dr. Tadhg MacIntyre) and all members of the research team to meet the overall aims of a work package which is focused on developing and implementing a knowledge and evaluation framework. They will assist with leading on key tasks in the work package including the measurement of impact on employability and career prospects, the development of related communication and dissemination outputs, data analysis and ethical approval applications and compliance. As a leading member of the research team, they will contribute to presentations at national and international conferences, and to scholarly publications arising from the project. Salary Research Fellow: €65,889– €71,796 p.a. (1-4 points - with increment) Senior research Fellow: €80,150– €83,598 p.a. (1-3 points - with increment) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday the 22nd of February 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Full-time appointment on a tenurable basis. Base salary range: Level B, $118,150 – $139,812p.a. (pro-rata) plus 17% superannuation. About the area The School of Human Sciences is a large multi-disciplinary School that makes a significant contribution to teaching and research in the Physiology discipline. The School is ranked 30th in the world in the subject area of ‘Anatomy and Physiology’ (QS). Core units within the Physiology major cover the fundamentals of various biological systems (e.g., nervous, cardiovascular, respiratory, renal, reproductive and gastrointestinal) and cellular function, as well as more applied science - exercise physiology, concepts of clinical and nutritional physiology, experimental methodology, and environmental physiology. Physiology teaching also extends to other majors within the School, including Neuroscience, Exercise and Health, and Sports Science, and into other Schools that facilitate the education of pre-clinical students. Research within the School spans molecular science, biological modelling, pre-clinical and clinical research and community-based interventions. Following completion of their major, students often embark on a one-year Honours degree, which helps seed a large postgraduate research program, with ~100 research students. The breadth of research and researchers can be explored further on our webpage. https://www.uwa.edu.au/schools/human-sciences About the opportunity Deliver high‑quality teaching in Physiology, including unit coordination, innovative assessment design, and supporting outstanding learning experiences across undergraduate and postgraduate programs. Drive impactful research, contributing to high‑quality publications, collaborations, and competitive funding bids while building or joining a research team with local and international reach. Engage in service and leadership, supporting School and University governance, fostering inclusion and diversity, and representing UWA through professional, industry, and community partnerships. About you PhD in an academic field relevant to the discipline. Demonstrated expertise, relative to opportunity, in teaching physiology at a cellular and/or systems level, in the context of normal function and how biological processes are disrupted in disease. Demonstrated ability, relative to opportunity, to deliver high quality teaching approaches, assessments, and materials for units and courses. Expertise in pre-clinical science, including in vivo models, ex vivo tissue, in silico models, or computational biology. A demonstrable track record, relative to opportunity, of excellence in research, as evidenced by peer-reviewed journal articles published in high quality journals. Demonstrated ability to relate well to staff and students at all levels, and evidence of a commitment to equity and diversity principles. Note: Employment checks will include information on gender-based violence, sexual harassment, and related misconduct to meet legal obligations. Position description: PD [Lecturer (Physiology)] [522553].docx.pdf To learn more about this opportunity, please contact Professor Peter Noble peter.noble@uwa.edu.au How to apply Please apply online via the Apply Now button and address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria. You may submit a statement describing any personal circumstances relevant to your application. This can include academic/professional interruptions or achievements relative to opportunity. Closing date: 11:55 PM AWST on Thursday, 12 March 2026 This position is only open to applicants with relevant rights to work in Australia.  Benefits  Flexible working options. Generous paid leave including parental leave. Up to 17% employer paid superannuation. Salary packaging available. Incremental progression based on 12 months continuous service. Discounted UWA course fees. Discounted health insurance. Employee Assistance Program. About the University The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university. Learn more about us. Our commitment to inclusion and diversity UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability. If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process.   If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at people@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.