​The Research Institute of Sciences and Engineering (RISE) is seeking to hire a full-time Post-Doctoral Fellow position in Modeling and Optimization of Sustainable Operations and Supply Chains​

• Conduct independent and collaborative research in a maximum number of the following areas:
• Energy and Carbon efficiency in Supply Chains and Operations: Inventory, Transportations, Distribution, Manufacturing, Healthcare,  
• Sustainable development goals: solutions and initiatives in the design and management of supply chains to achieve SDGs,
• knowledge in waste management, sustainable transportation, renewable energy management, digitization in manufacturing
• Developing models and algorithms for decision making: Integer Linear programming, Metaheuristics, Multi-objective optimization, Multicriteria decision making, Flow simulation
• Use of Artificial Intelligence, System Dynamics, Structural Equation Modeling, and Simulation to evaluate alternatives in supply chains and operations  
• Scientific computer-assisted review methodology: bibliometric analysis
• Write and debug high-quality research codes and research papers.
• Document research by publishing papers in peer-reviewed journals and presenting papers in conference proceedings.
• Design and implement experiments to test research ideas on a variety of problems.
• Co-supervise junior researchers.
• Collaborate with your supervisor and other researchers to discuss, develop, and implement the research agenda.
• Perform other related duties as assigned.
• Follow all University policies and regulations for safe working procedures​
  

• Strong research background in optimization and programming and other tools for decision-making
• Strong knowledge and experience in sustainability, waste management, renewable energy, circular economy
• Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
• Strong experience in data analytics and bibliometric analysis is a plus
• Publications at top-tier peer-reviewed journals. ​

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• Educational background in engineering or in computer-related field.
• It is necessary to have a strong knowledge of programming languages (C, C++, MATLAB, Python)
• Strong knowledge of optimization techniques: heuristics, metaheuristics, Integer Linear Programming, and hybrid algorithms
• Previous research in the application of optimization techniques in engineering areas.
• Demonstrated ability to conduct high-quality research and to develop implementations to evaluate the results.
• Evidence of strong oral and communication skills
• Must be willing to work in a team environment and assist co-workers or supervisors with other duties as required​