About the role
AI summarisedThe Senior Research Engineer leads engineering projects focused on operations research, advanced analytics, and optimization to develop scalable supply chain and digital manufacturing solutions.
ResearchOnsite
Key Responsibilities
- Design and prototype novel algorithms, tools, and systems to solve complex operational and industrial challenges
- Conduct research and feasibility studies to create innovative, scalable engineering solutions for industry needs
- Lead end-to-end development of research concepts into industry-ready functional engineering prototypes
- Collaborate with cross-functional teams to transition research results into tangible, deployable products
- Leverage technologies such as discrete-event and agent-based simulations, network analysis, and optimization techniques
- Implement machine learning and AI technologies into operational processes to enhance decision-making
- Evaluate performance and scalability of developed solutions through rigorous testing and optimization
- Engage with industry partners and stakeholders to gather feedback and refine prototypes for adoption
Requirements
- Bachelor or Master degree in engineering, Computer Science, Operations Research, or related fields
- Strong foundation in mathematical modelling, algorithm design, and scientific computing
- Expertise in discrete-event and agent-based simulations and optimization techniques
- Proficiency in programming languages such as Python, C, C++, or MATLAB
- Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
- Familiarity with optimization libraries such as Gurobi or CPLEX
- Experience in data structures, algorithm development, and software development best practices
- Prior experience in operational optimization such as fleet management, scheduling, or network design
- Experience applying research in settings such as aerospace, logistics, energy, or manufacturing
- Familiarity with Industry 4.0 technologies including advanced robotics and automation