Université Polytechnique Hauts-de-France

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 Research Engineer (Microgrid Controller Design) will contribute to a one-year applied research project funded by the Singapore Army, focusing on the development of a mobile DC microgrid for military tactical applications. The role involves designing and implementing advanced control algorithms to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically assign grid-forming roles under varying operating conditions. The engineer will develop, simulate, and test controller logic using MATLAB/Simulink or similar environments, analyse performance across diverse scenarios, and document results for technical reporting. This position is ideal for candidates with a strong foundation in control systems, software development, and power or energy management applications. Key Responsibilities Participate in the research project to design a mobile DC microgrid controller for military tactical applications. Develop control algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and validate performance under different simulated conditions. Conduct testing of control strategies under various operating conditions such as extreme weather, load variation, equipment failure and deployment constraints. Prepare documentation, flowcharts, control logic diagrams, and controller specifications for the final report. Assist with procurement of software licences and technical equipment. Conduct Risk Assessments and ensure compliance with WSH regulations. Support supervision of capstone project students involved in the project. Work independently and collaboratively to maintain research software and project tools. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Job Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar environments. Understanding of control systems, power electronics, or energy management strategies. Experience in microgrid controller design is advantageous. Familiarity with BESS control strategies, SOC management, or optimisation algorithms preferred. Support supervision of capstone project students involved in the project. Ability to implement and test algorithmic logic using simulation tools. Strong analytical, problem-solving, and debugging skills. Excellent technical writing, communication, and interpersonal skills.

ABOUT VINUNIVERSITY’S RESEARCHER 200   VinUniversity is proud to launch the RESEARCHER200 Program, designed to attract exceptional researchers from around the world to join our vibrant research community. This initiative aims to support and nurture high-potential researchers, offering them the resources and opportunities needed to thrive in their fields.    This is a unique opportunity to become part of a dynamic academic community, work alongside global experts, and make a meaningful impact on research and society.   THE OPPORTUNITY   College of Engineering and Computer Science is looking for Postdoctoral Researchers/Research Fellows/Senior Research Fellows in the following areas:   Areas of interest:   Generative AI, LLM & VLM, VLA  Agentic AI  VLA & Robotics  Physical AI and World Models  Smart Materials  Digital Twin  AI for Healthcare  AIoT  Mathematical Modeling for AI, Bio Inspired Intelligence  AI for Mathematics Modeling  POSITION RESPONSIBILITIES   The members will be responsible for two primary responsibilities:   Research: Conduct original, high-impact research projects, contribute to peer-reviewed publications in top-tier venues, and collaborate with colleagues across disciplines. Your research projects will be implemented in collaboration with Center for AI Research to foster impactful outcomes.   Service & Teaching: While there are no mandatory teaching duties, candidates may choose to contribute to teaching or supervision of graduate students upon agreement with the Chief Scientific Officer of Center for AI Research.  KEY SELECTION CRITERIA   We are seeking outstanding early-career researchers who meet the following criteria:     Educational Background: At least a PhD in AI, Computer Science or related fields from a renowned university.    Research Excellence: Proven track record of impactful research, demonstrated through publications in prestigious journals.     Skills: Outstanding communication, collaboration, and teamwork capabilities.     Host/Mentor and Research Plan: The applicant must be accepted as a mentee by a VinUni scientist who will oversee the research. Preliminary research plan developed in consultation with a VinUni research team leader.     COMPENSATION & BENEFITS   Competitive Compensation: A competitive salary of up to US$40,000 per year, with additional performance-based research incentives.    Duration: The Research Fellowship is initially awarded for 24 months. Long-term appointment is granted based on outstanding performance.   Research Facilities: Access to cutting-edge research infrastructure and collaboration opportunities with leading research groups at partner universities and within the Vingroup ecosystem.    APPLICATION INSTRUCTIONS   To apply, please submit a cover letter, a resume indicating selected publications and a list of two academic references.  We thank all applicants for their interest. Please note that only those candidates selected for interviews will be contacted.   

Based at Australian Institute Machine Learning (AMIL), City East Campus Full-time, fixed term contract 3 years Salary Range: $102,024 - $109,307 per annum (plus 17% superannuation) 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 Join a funded research project at the forefront of Large Vision-Language Models (LVLMs), developing innovative evaluation tools and training methods to enhance complex reasoning, decision-making, and adaptability in next-generation AI systems. Your work will address critical limitations in current AI approaches and contribute to impactful, real-world solutions across sectors such as healthcare, business, and education, while strengthening Australia’s leadership in AI. Curious to learn more? Explore the position description/selection criteria above to discover more about this opportunity. The team Reporting to Associate Professor Qi Wu, this role sits within the Australian Institute for Machine Learning (AIML). You will work alongside experts in machine learning, computer vision, and natural language processing, contributing to cutting-edge research and partnering with academic and industry stakeholders to deliver innovative, high-impact outcomes. Established in 2018 and based at Lot Fourteen in Adelaide, AIML is globally recognised for research excellence and real‑world impact, collaborating with leading industry and government partners to apply cutting‑edge discoveries to challenges in sectors such as defence, space, healthcare, infrastructure and agritech. Visit the AU website to learn more about the Australian Institute for Machine Learning. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is ideal for someone who thrives in a fast-paced, research-intensive environment. You will engage with a diverse network of collaborators across disciplines, contributing to innovative projects that push the boundaries of AI while maintaining strong connections to practical applications. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: PhD in machine learning, AI, computer science or related field Programming experience in Python, C++ or other relevant language and experience in deep neural networks (Pytorch, tensorflow). Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural networks and/or probabilistic graphical models; computer vision; Large Language Models. A good publication record in top tier machine learning and/or computer vision conferences or journals, commensurate with experience and opportunity. A strong work ethic, and the ability to work well independently, and as a member of a broader team 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. Launch your future with Adelaide University now. Applying is simple. 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 Thursday 23 April 2026 The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information about this opportunity, please contact (quoting reference number 492783): Simone Patterson Talent Acquisition Officer +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au