Researchers in Innovative tools for Cyber-Physical Energy Systems (Imperial College London Department of Electrical and Electronic Engineering)

Job summary Applicants are invited to apply for two Early Stage Researcher (ESR) positions as part of the project “Innovative tools for Cyber-Physical Energy Systems (InnoCyPES)” which is funded by the European Union under the Marie Skoldowska Curie Innovative Training Networks (EU-MSCA-ITN) programme. InnoCyPES is an ambitious consortium partnering 11 universities and 9 industry partners across Europe that explores the digitalization challenges of... Job listing information Reference ENG01629 Date posted 8 April 2021 Closing date 6 May 2021 Key information about the role Location South Kensington Campus (map) Position type Full time, fixed term Salary £36,045 – £39,183 plus benefits Department Department of Electrical and Electronic Engineering Category Researcher / Non Clinical Researcher Job description Job summary Applicants are invited to apply for two Early Stage Researcher (ESR) positions as part of the project “Innovative tools for Cyber-Physical Energy Systems (InnoCyPES)” which is funded by the European Union under the Marie Skoldowska Curie Innovative Training Networks (EU-MSCA-ITN) programme. InnoCyPES is an ambitious consortium partnering 11 universities and 9 industry partners across Europe that explores the digitalization challenges of the power system in terms of cyber security, accommodation of Internet of Things (IoT) technologies and cyber-physical systems integration. Early Stage Researchers employed within the project will undertake individual research projects leading to a PhD degree. The first post will be on data-driven stability assessment of power system. You will explore machine-learning and artificial intelligence algorithms to evaluate the stability and reliability of the power system combining traditional mathematical methods with data-driven approaches. The second post will focus on privacy-preserved power system estimation for improved network observability. You will apply and enhance load patterns extraction algorithms and power system state estimation methods on electrical network data, with a special focus on preserving the privacy and anonymity of the consumers information in light of the recent privacy regulations. You will undertake research internships with the consortium partners to work with multi-university and multi-disciplinary teams to allow them for high-quality research and a complete set of transferable skills. In addition, you will be required to submit publications to refereed journals as part of the desirable requirement for PhD qualification. you are expected to supervise undergraduate postholders in laboratory as well as in final year individual project. Duties and responsibilities The responsibilities include defining the research questions and plan, reviewing literature and conducting independent research, reporting progress and disseminating results in high-impact journals, conferences and other gatherings. You will be based at Imperial, but they will also participate in activities of the consortium and perform research visits to the research partners. Essential requirements You should have a first degree or/and a Master’s degree (or other equivalent experience) in Electrical/Electronic Engineering. You will have excellent understanding in the fields of power system stability, control and estimation with some experience in data-sciences and machine learning. You must also: not have resided or carried out his/her main activity (work, studies etc.) in the UK for more than 12 months in the past three years not have resided in the UK for more than 12 months in the 3 years immediately before the recruitment date (and not have carried out their main activity (work, studies, etc.) in that country) — unless as part of a procedure for obtaining refugee status under the Geneva Convention for beneficiaries that are international European interest organisations or international organisations, not have spent with the beneficiary more than 12 months in the 3 years immediately before the recruitment date be — at the date of recruitment — an ‘early stage researcher’ (i.e. in the first four years of his/her research career and not have a doctoral degree) Further information For informal enquiries about this post please contact Prof Bikash Pal via email at b.pal@imperial.ac.uk. Further information about the post is available in the job description. Our preferred method of application is online via our website. To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG01629. If you apply for this position please say you saw it on Physicaloxy

Job summary

Applicants are invited to apply for two Early Stage Researcher (ESR) positions as part of the project “Innovative tools for Cyber-Physical Energy Systems (InnoCyPES)” which is funded by the European Union under the Marie Skoldowska Curie Innovative Training Networks (EU-MSCA-ITN) programme. InnoCyPES is an ambitious consortium partnering 11 universities and 9 industry partners across Europe that explores the digitalization challenges of...

Job listing information

Reference ENG01629
Date posted 8 April 2021
Closing date 6 May 2021

Key information about the role

Location South Kensington Campus (map)
Position type Full time, fixed term
Salary £36,045 – £39,183 plus benefits
Department Department of Electrical and Electronic Engineering
Category Researcher / Non Clinical Researcher

Job description

Job summary

Early Stage Researchers employed within the project will undertake individual research projects leading to a PhD degree.

The first post will be on data-driven stability assessment of power system. You will explore machine-learning and artificial intelligence algorithms to evaluate the stability and reliability of the power system combining traditional mathematical methods with data-driven approaches.

The second post will focus on privacy-preserved power system estimation for improved network observability. You will apply and enhance load patterns extraction algorithms and power system state estimation methods on electrical network data, with a special focus on preserving the privacy and anonymity of the consumers information in light of the recent privacy regulations.

You will undertake research internships with the consortium partners to work with multi-university and multi-disciplinary teams to allow them for high-quality research and a complete set of transferable skills. In addition, you will be required to submit publications to refereed journals as part of the desirable requirement for PhD qualification. you are expected to supervise undergraduate postholders in laboratory as well as in final year individual project.

Duties and responsibilities

The responsibilities include defining the research questions and plan, reviewing literature and conducting independent research, reporting progress and disseminating results in high-impact journals, conferences and other gatherings. You will be based at Imperial, but they will also participate in activities of the consortium and perform research visits to the research partners.

Essential requirements

You should have a first degree or/and a Master’s degree (or other equivalent experience) in Electrical/Electronic Engineering. You will have excellent understanding in the fields of power system stability, control and estimation with some experience in data-sciences and machine learning.

You must also:

not have resided or carried out his/her main activity (work, studies etc.) in the UK for more than 12 months in the past three years
not have resided in the UK for more than 12 months in the 3 years immediately before the recruitment date (and not have carried out their main activity (work, studies, etc.) in that country) — unless as part of a procedure for obtaining refugee status under the Geneva Convention
for beneficiaries that are international European interest organisations or international organisations, not have spent with the beneficiary more than 12 months in the 3 years immediately before the recruitment date
be — at the date of recruitment — an ‘early stage researcher’ (i.e. in the first four years of his/her research career and not have a doctoral degree)