Postdoctoral Research Fellowship: Computational Sciences
- Location
- Eastern Cape
- Contract
- Contract
- Minimum qualification
- Bachelor's degree
- Closing date
First listed . Last checked at source .
In brief
**Overview** This Postdoctoral Research Fellowship is available in the Department of Computational Sciences, under the discipline of Physics, at the University of Fort Hare. The role is supervised by Prof Patrick Mukumba and is integrated into an active research programme. This programme focuses on advanced wind energy technologies, specifically low-wind-speed energy harvesting through systems like ducted, concentrator-diffuser augmented (CD-AWTs), INVELOX, and shrouded wind turbines, among other innovative concepts. Additionally, the research involves offshore wind resource assessment, offshore wind turbine innovation, wind resource characterisation using ZX Wind LiDAR technology, and the design and optimisation of renewable energy mini-grid systems. The programme heavily relies on the application of Artificial Intelligence (AI), machine learning, computational fluid dynamics (CFD), digital modelling, and advanced optimisation techniques to enhance wind resource assessment, turbine design, system performance, and decision-making for next-generation wind energy technologies. **What you will do** * Conduct innovative research on advanced wind energy technologies for low-wind-speed energy harvesting. * Develop, model, and optimise wind turbine systems using Computational Fluid Dynamics (CFD), Artificial Intelligence (AI), machine learning, and advanced optimisation techniques. * Conduct wind resource assessment and characterisation using the ZX Wind LiDAR system for onshore and offshore wind energy applications. * Design, construct, install, and experimentally evaluate innovative wind energy augmentation systems, including ducted, shrouded, concentrator, diffuser, and INVELOX-based technologies for both horizontal-axis and vertical-axis wind turbines. * Contribute to the design and optimisation of renewable energy mini-grid systems integrating wind energy technologies. * Contribute to the research productivity of the research group, postgraduate students as well as the Department. * Produce a research publication unit of 2.0 per annum with the host. **Requirements (from the original advert)** * Applicant must have completed doctoral degree within the last five years. * Must have graduated with a PhD in Renewable Energy, Mechanical, Mechatronics, Aerospace, or Electrical Engineering, Applied Physics, or a closely related field. * Should have demonstrated expertise in wind energy systems, wind resource assessment, and renewable energy mini-grid design and performance optimisation. * Experience in Computational Fluid Dynamics (CFD), Artificial Intelligence (AI), machine learning, and numerical modelling for wind energy applications will be a distinct advantage. **Who should apply** This fellowship is suitable for individuals who have completed their doctoral degree within the last five years in fields such as Renewable Energy, Mechanical, Mechatronics, Aerospace, Electrical Engineering, Applied Physics, or a closely related discipline. Ideal candidates will have demonstrated expertise in wind energy systems, wind resource assessment, and the design and performance optimisation of renewable energy mini-grids. Applicants with experience in Computational Fluid Dynamics (CFD), Artificial Intelligence (AI), machine learning, and numerical modelling specifically for wind energy applications are particularly encouraged to apply. **Deadline** 9th October, 2026 **Reference** Original posting: https://www.myjobmag.co.za/job/postdoctoral-research-fellowship-computational-sciences-university-of-fort-hare-1 Source: myjobmag
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Job description
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