Senior Research Scientists (Research Associates)

CVS3 – Center for Sound Vibration & Smart Structures. - Ain Shams, Cairo

28
Applicants for
3 open positions
8
Seen
1
Shortlisted
Experience Needed:
2 to 4 years
Career Level:
Experienced (Non-Manager)
Job Type:
Full Time
Salary:
Confidential, Research Semester at The MIT Campus
Languages:
English
Vacancies:
3 open positions
About the Job

POSITION SUMMARY

The Energy Technology and Climate Change Laboratory (ETCC), and the Centre for Sound, Vibration and Smart Structures (CVS3), are research-driven and industry-oriented research groups at the Faculty of Engineering, Ain Shams University (ASU) in Egypt. Both groups are running an exciting three-year applied research project in collaboration with the United States’ Massachusetts Institute of Technology (MIT), Mansoura and Aswan Universities in Egypt. As a result, A number of research vacancies exist for successful candidates who will be expected to make world class scientific contributions addressing a number of high priority engineering problems pertaining to utility-scale wind power.

This project will develop an artificial intelligence (AI)-based wind farm yield-maximisation and decision support platform, which is useful for the deployment of wind energy in Egypt and the Middle East. MIT and ASU teams will build on the activities at ASU’s Wind Engineering Centre, and will develop a pre-commercial AI-enabled platform that will maximise the reliability and economic gain of Egypt’s wind farms. This will be achieved by working on novel wind-and-turbine physics coupling; integrated pumped hydro reverse osmosis system (IPHROS) optimisation; and efficient machine-learning control and prognosis algorithms. The solution developed by this project will be climate-relevant and aimed at regulators; planners; developers; and operators of wind farms.

This call for applications is made possible by the support of the American People through the United States Agency for International Development (USAID). The contents of this call are the sole responsibility of the Center of Excellence for Energy and do not necessarily reflect the views of USAID or the United States Government.

PARTICULARS OF AVAILABLE ROLES

Research and postdoctoral positions are available for the three following themes addressing the fundamental research questions of the project:

  • Active fluid flow control of wind turbines: How could advanced artificial intelligence (AI) technology produce more accurate, climate-relevant, wind farm wake models leading to more realistic wake loss factors, wind farm area requirements, infra-structure costs and land topologies?
  • Mechanical/Structural condition monitoring: How might active wake control affect the lifetime of wind turbines? And how can large and sparse amounts of turbines’ condition monitoring data be managed to predict effective and meaningful decisions about a wind farm’s operational regime and maintenance schedules?
  • Energy system modelling/design: Given wind intermittency, curtailment aspects, and environmental effects on wind turbines, how could energy storage systems together with cogeneration ideas -such as farm irrigation/water desalination- be designed to provide the best economic outcome to wind farm operators while ensuring grid stability?

GENERAL ROLES CRITERIA

  • Salaried positions are tenable for three years on a full-time basis, at ASU, Cairo, Egypt. Monthly salaries will be determined based on the candidates’ experiences and the position they apply for (Research Assistants, Associates or Postdocs). Successful candidates will enjoy a collaborative work environment with research teams at the MIT, and access to state-of-the-art experimental and modelling tools.
  • The positions are open for national and international applicants. However, applicants for research assistants or research associates will need to enrol for a MSc or PhD program at Ain Shams University to be able to receive financial compensation. Post-doctoral candidates need not enrol in a post-graduate program.
  • The responsibilities include studying the relevant literature, defining the research problems based on the project descriptions, conducting independent research, regularly reporting progress and results, collaborating with other team-members, and writing reports/papers of the research outcomes when appropriate.
Job Requirements

ESSENTIAL REQUIREMENTS

  • Successful candidates are expected to have obtained at least Engineering MSc degree in Mechanical, or Energy-related program. Candidates should additionally have a decent foundation in computational science and experimental techniques covering one or more of the following: fluid dynamics/turbulence; aerodynamics; flow-structure interaction; structural mechanics; vibration/acoustics monitoring; turbomachines; machine design; deep/machine learning for mechanical systems; mechanical design optimisation; and thermodynamic modelling.
  • Candidates are expected to enjoy solid knowledge of mathematics, and are expected to be able to use computer programming tools. Candidates should be highly motivated individuals with a keen interest in conducting international and interdisciplinary research.
  • Priority for employment, and salary, will be given to candidates with strong academic record and publication potential.

BENEFITS

  • The ETCC and CVS3 groups have a solid track record of high quality research, and have regularly engaged in collaborative, and capacity building projects with funding from national and global funding bodies.
  • Successful candidates will be eligible to spend a research semester at the MIT campus, Boston MA, in the United States of America.
  • Successful candidates will be eligible to receive full scholarship to earn an MITx MicroMasters in Energy. This MIT program will be offered in 2020/2021.
About this Company

We are the Group for Advanced Research in Dynamic Systems (CVS3) at the Faculty of Engineering - Ain Shams University, we are a team of researchers targeting different disciplines in research in mechanical dynamic systems. This includes the fields of smart materials and... (More)

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