Metropolitan International University

Position Details Fixed Term for 2 Years | Full-Time Higher Education Officer Level 5 | $84,599 - $93,366 p.a. Location: Bedford Park / Kaurna Country / Adelaide CBD (SAHMRI) View Position Description College of Medicine and Public Health At the College of Medicine and Public Health, we deliver clinical, population and lab-based research, integrated teaching programs and high-quality clinical services. Our footprint reaches out from our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and teaching equip the next generation of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do. About the Role Join a world-leading research program at the MND Centre for Drug Discovery, supporting the development of next-generation therapies for motor neurone disease. Working within a highly collaborative and well-resourced laboratory environment, you will play a key role in a major drug screening program, assisting with cutting-edge stem cell-based disease modelling and translational research. This position offers the chance to work alongside leading researchers, utilising advanced technologies and methodologies to help deliver impactful discoveries and improved outcomes for people living with MND. This role may also require working across multiple locations, including Bedford Park and the Adelaide CBD. Key responsibilities include: Supporting the design and delivery of experimental research using patient-derived iPSC models, including data collection and analysis Assisting in the development and application of advanced assays, imaging techniques and large-scale drug screening activities Contributing to research outputs, including reports, publications and milestone deliverables for funded projects Collaborating with multidisciplinary teams and external partners to support translational research and therapeutic discovery outcomes This position makes a significant contribution to the University’s strategic plan to change 10 million lives, Every One Matters, by 2035, through directly contributing to the strategic driver of Research that Matters, by supporting innovative, translational research that seeks to develop new therapies and improve outcomes for people living with motor neurone disease.. About You You are a motivated and detail-oriented research professional with a strong foundation in biological or biomedical science and a genuine passion for translational research. You bring hands-on laboratory experience, a commitment to high-quality scientific practice, and the ability to work both independently and collaboratively within a multidisciplinary environment. With strong problem-solving skills and a proactive approach, you are eager to contribute to impactful research outcomes that advance understanding and treatment of disease. To be successful in this role, you will demonstrate: A relevant degree in biological or biomedical science, or an equivalent combination of experience and training Experience in laboratory-based research, ideally including human stem cell culture and complex experimental techniques Strong analytical and problem-solving skills, with the ability to perform rigorous and reproducible experimental work Effective communication and teamwork skills, with the ability to contribute to collaborative research projects and outputs Life at Flinders We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world. Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders? 17% Superannuation + salary packaging options Flexible working arrangements Wide range of professional development activities and services We embrace diversity and promote equity and inclusion for all students and staff Vibrant campus life and amenities including on campus health care services, gym and childcare centre(Bedford Park, South Australia). Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Please see here for our Reconciliation Action Plan  Please see here for our Indigenous Workforce Strategy  Prescribed Conditions for Employment A current Nationally Coordinated Criminal History Check which is satisfactory to the University will be required by Flinders University before the successful applicant can commence in this position. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. How to Apply and Information You are required to submit a CV, along with a Suitability Statement as a separate document. This should be no more than 3 pages, and address the Key Position Capabilities of the position description For more information regarding this position, please contact Christopher Bye Certification Applications to be submitted before 10.00pm: 08 June 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.

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. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex-A_Tranche-2-Research-Projects-Awarded-Under-CFI-Singapore.pdf). The primary role involves developing and validating Hydrodynamic models to study performance of integrated floating breakwater and marine renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance analysis, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: 1. Wave Stochastic Analysis and Hydrodynamics  Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures.  Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. Hydrodynamic and Fluid Structure Interaction Modeling Perform Hydrodynamic simulations to optimize the design and performance of floating breakwaters. Develop models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze mechanical connectors for the integration of multi-purpose floating breakwater systems, ensuring structural stability and durability. 4. Design and Integration Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs) and, tidal energy systems. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave basin to validate computational models. Analyze experimental data to improve and validate the floating breakwater design. 6. Research Documentation and Dissemination: Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders. Contribute to project proposals and progress updates for funding agencies. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. 7. Project Management Support: Ensure timely execution of project milestones Coordinate with external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., WAMIT, ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry standard will be an advantage Ability to work independently and in teams in both lab and field environments. Excellent communication (verbal and written) and teamwork abilities Key Competencies Able to build and maintain strong working relationships with people within and external to the university. 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

Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs) for Predictive Maintenance: Introduction 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. Context We are seeking a highly motivated and skilled postdoctoral researcher with a strong background in Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive maintenance systems using AI tools. Key Responsibilities: Conduct innovative research on the application of Large Language Models (LLMs) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high-impact research in top-tier conferences and journals at the intersection of AI, NLP, and industrial applications. Contribute to the development of scalable and interpretable AI tools for real-world deployment. Qualifications: A PhD in Computer Science, Machine Learning, NLP, or a related field, with a thesis focused on AI, particularly LLMs. Strong publication record in top AI/ML/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer architectures, attention mechanisms, and fine tuning techniques for LLMs. Experience with time-series data, anomaly detection, or predictive maintenance is a strong plus. Familiarity with industrial datasets and domain-specific challenges is desirable. Excellent problem-solving skills and the ability to work both independently and collaboratively in a team environment. How to Apply: Interested candidates should submit the following documents: A cover letter detailing your research interests and how they align with the application of LLMs to predictive maintenance. A current CV, including a list of publications. Contact information for at least three references. A brief research statement (max 2 pages) outlining your past research and future research directions, particularly as they relate to LLMs