Postdoc position in ELaaS: Energy optimal urban Logistics As A Service
3 weeks ago
The project ELaaS is a recently funded project by the European Union (JPI Urban EU), the Swedish Energy Agency, and Chalmers University of Technology (Transport Area of Advance).
Moreover, this is a joint project between two Divisions (Division of Systems and Control, Electrical Engineering, and Division of Servive Management and Logistics, Technology Management and Economics) at Chalmers University of Technology.
The Automatic Control Group (within the ) focuses on applications in the transportation and energy sectors whilst having a long tradition in robust, optimal control design solutions.
focuses on the management, design, delivery and improvement of services from the perspective of the individual organization as well as the wider supply chain.
Our research has a particular focus on organizations in various sectors, including transportation, construction, healthcare and manufacturing.The postdoc will have a unique opportunity to work in a inter-disciplinary environment where s/he will (i) develop innovative mathematical models for last-mile distribution that take into account the complexity of energy supply, and at (ii) apply those models to enable the transition towards electric vehicles for freight transport operators.
Project description In the project, a novel and operational energy-based description of multimodal, urban logistics system is proposed. This energy based quantitative framework enables us to systematically and naturally target sustainability goals. In ELaaS, we intend to minimize the overall energy usage from consolidation centers to the customers' doors. This approach gives ground to i) contrast modular solutions ii) quantify logistic solutions by energy footprints, iii) enhance social responsibility at different levels, and iv) couple logistics systems to power grid.The following goals are formulated to reach within which the postdoc associate will mostly be involved in G3 and G4.
G1) Define logistics flows via models and mode shifts via scenario design method from authorities.G2) Quantify the use of energy in logistics flows and devise energy optimal delivery solutions. Dynamically schedule micro platforms and charging-parking allocations.
G3) Analyze spatio-temporal energy usage of urban logistics systems. Perform sensitivity analysis under power grid interruption. Scalability analysis of E-Laas algorithms.
G4) Quantify demand for freight and analyze the customer behaviour change required to run E-Laas.
Major responsibilities
The appointment offers great opportunities to qualify for further research positions within academia or industry as we have numerous ongoing collaborations with the leading groups internationally (e.g. consortia members). A monthly salary is paid. There are no tuition fees for PhD studies at Chalmers, so the postdoc associate can take classes. The postdoctor's major responsibilities are to elaborate new methods and algorithms, be active in the EU project, and publish and present results in top tier scientific journals, and be part of proposal writing.
Qualifications The applicant should have a PhD degree in applied mathematics, computer Science, transportation science, operations research, systems and control, or similar. Excellent presentation skills, and fluency in English are required. Skills in operational research, integer optimization, and statistics are essential, experience with partial differential equations, machine learning methods are advantageous.
Contract terms This postdoc position is a full-time temporary employment for two years and seated at the Department of Electrical Engineering.
We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of .
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