Organisation/Company: City, University of London
Department: School of Science & Technology
Research Field: Engineering » Mechanical engineering, Computer science » Programming
Researcher Profile: Recognised Researcher (R2), Postdoc Positions
Country: United Kingdom
Application Deadline: 16 Feb 2025 - 23:59 (Europe/London)
Type of Contract: Temporary
Job Status: Full-time
Offer Starting Date: 1 Apr 2025
Is the job funded through the EU Research Framework Programme? Horizon Europe - EIC
Reference Number: 101130315
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Context
City, University London (CITY) is a global University, part of the University of London, committed to academic excellence with a focus on business and the professions and an enviable central London location. The University is in the top 5% of universities in the world and attracts over 21,000 students from around 160 countries. The School of Science Technology has been leading education and research in engineering and mathematics for more than a hundred years. The Department of Mechanical Engineering is home to the ThermoFluids Research Centre (TFRC) and the Aeronautics and Aerospace Research Centre, which is part of the UK’s National Wind Tunnel Facility. TFRC maintains strong links with automotive, fuels, and fuel additives industries that actively build our international reputation. Since 2013, TFRC has coordinated more than 15 EU-funded research grants. The 2014 Research Excellence Framework (REF) showed a significant improvement in our research standing, with 79% of its staff rated as world-leading and internationally excellent.
Job Purpose
City, University of London along with Otto von Guericke University Magdeburg (DE), Lund University (SE), National Technical University of Athens (GR), and industrial partners Lubrizol Ltd (UK) and AVL List Gmbh (AT) are looking to appoint one Postdoctoral Research Associate for their project proposal E-COOL, ‘A Holistic Approach for Electric Motor Cooling’, submitted to the European Innovation Council (EIC). E-COOL aspires to develop a holistic e-motor cooling technology, maximising heat transfer through direct-contact, spray cooling.
Main Responsibilities
1. To undertake research in the field specified to meet the aims, objectives, and project specifications given in the proposal funded to create this appointment.
2. To liaise closely with the academic and industrial partners of the project.
3. To play a leading role in raising the national and international profile of The Team by publishing articles in international journals, attending conferences, and enhancing appropriate links with industry and institutions.
4. To prepare and make presentations of the work to City, University of London (CUL) and at major meetings and conferences.
5. To work as a member of the research centre within the discipline, participating fully in the research life of the research team.
6. To play an appropriate role in planning and shaping future strategy and direction, working with other staff within The Team in a collegiate framework.
7. To undertake other duties as required by the project coordinator.
Research
1. To build upon the previous experience of the Team on the Computational Fluid Dynamics (CFD) simulation of non-Newtonian/viscoelastic fluids.
2. To develop novel closures for fluid rheology using Tensor-Basis-Neural-Network (TBNN) architectures.
3. To work with The Team to develop reliable numerical methodologies capable of simulating the flow and thermal behaviour of complex heat-transfer liquids suitable for electric motors.
4. To collaborate with existing members of The Team, bringing together areas of expertise for innovative analytical and numerical research.
5. To facilitate inter-disciplinary research links with other research centres and groups.
Minimum Requirements
First degree and PhD in Mechanical Engineering, Physics, or relevant fields.
Experience
* Proven track record of peer-reviewed activity in research.
* Experience in constitutive models for fluid rheology.
* Experience in computational research in the field of the project, with a strong background in rheology and Non-Newtonian flows.
Skills and Abilities
* Expertise in Machine Learning tools such as PyTorch or TensorFlow.
* Familiarisation with Artificial Neural Network architectures.
* Code development and customisation of open-source or commercial CFD software.
* Capability of working in High Performance Computing Environments.
* Dissemination/Presentation skills and ability to present technical data to diverse audiences.
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