InnoCyPES is a project funded under H2020 Marie Skłodowska-Curie Actions, Innovative Training Networks. Within the project, there is an available position at the University of Salento, Lecce, for talented, enthusiastic, and ambitious candidates with the skills and knowledge to make excellent research and breakthroughs in the field of cyber physical energy systems. The successful ESR (Early Stage Researcher) candidate will enroll in the PhD programme in Engineering of Complex Systems and be employed for 36 months in the InnoCyPES network, consisting of 7 academic beneficiaries, 4 industrial beneficiaries, in collaboration with 10 partner organizations.
InnoCyPES targets at the key bottlenecks of digital transformation of the current energy system, where the ESRs are expected to study, investigate and improve various facets of digitalized and interconnected energy systems. Supervised by a consortium of prominent and experienced academic institutions, research institutes and industrial partners, they will collaboratively develop a cutting-edge system management platform that covers the entire lifecycle of data for energy system planning, operation and maintenance, based on an understanding of the energy system as a cyber-physical system.
The ESR will be enrolled in an intensive doctoral training program that is both intersectoral – involving key stakeholders – and interdisciplinary, including information science, energy systems engineering and social science.
Benefits
All InnoCyPES ESRs will benefit from:
- Extensive training in technical and transferrable skills;
- Participation to network events, workshops and conferences;
- A prestigious three-year MSCA Fellowship;
- A competitive salary including mobility and family allowances;
- Intersectoral secondment experience.
Qualifications
Applicants shall have proven interest in interdisciplinary and intersectoral research, and with specific interest in the InnoCyPES research areas as evidenced by the application documents. Besides, the following requirements are to be met:
1) have obtained their Master of Science degree in Computer Science, Computer Engineering or equivalent;
2) An excellent academic record (grades of B or higher)
3) have engineering background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of times series storage and analysis is a plus;
4) have good command of English (minimum C1 or equivalent).
Requirements
The applicants must fulfill the following conditions:
1) Early stage researchers: Applicants must be early-stage researchers, which means at the date of start, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree;
2) Mobility Rule: researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the host institute for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention1 are not taken into account. For international European interest organisations, international organisations, the European Commission's Joint Research Centre (JRC) or an 'entity created under Union law', recruited researchers must not have spent more than 12 months in the 3 years immediately before the recruitment date at the same appointing organisation.
Are you interested?
If you are interested in this exciting and challenging opportunity, please apply. Applicants of any age and of any nationality are eligible. The recruitment process follows an open, transparent, impartial, equitable and merit-based procedure and the European Charter and Code of Conduct for the Recruitment of Researchers.
Consortium partners
Host institute - Technical University of Denmark (DTU), Denmark
- University of Utrecht (UU), Netherlands
- Électricité de France (EDF), France
- Delft University of Technology (TUD), Netherlands
- University of Salento (UNILE), Italy
- Norwegian University of Science and Technology (NTNU), Norway
- Imperial College of London (ICL), United Kingdom
- Dansk Energi (DE), Denmark
- Austrian Institute of Technology (AIT), Austria
- Siemens Gamesa Renewable Energy (SGRE), Denmark
- Tajfun HiL (THiL), Serbia
Partner organizations - Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
- DEPSYS (DEP), Switzerland
- Equinor Energy (EQN), Norway
- Swiss Federal Institute of Technology (ETH), Switzerland
- Phase to Phase (Ph2Ph), Netherland
- Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento (INESC), Portugal
- NARI Technology (NARI), China
- University of New South Wales (UNSW), Australia
- Siemens, Denmark
- Ørsted Wind Power (Ørsted), Denmark
Open ESR position
ESR4: Large scale data management
The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the ESR research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges.
· Host organisation: University of Salento, Italy
· PhD-enrolment: University of Salento
· Duration: 36 months
· Expected start date: ~Nov 2021
· Secondment: DE (4 months), TUD (4 months)
· Research directors:
Prof. Massimo Cafaro massimo.cafaro@unisalento.it
Prof. Italo Epicoco italo.epicoco@unisalento.it
Simon Tindemans S.H.Tindemans@tudelft.nl
HOW TO APPLY:
https://www1.unisalento.it/bandi-concorsi/-/bandi/view/65641043
The tender is available as “Phd call - Engineering of complex systems - 37° cycle" https://www1.unisalento.it/c/document_library/get_file?p_l_id=63872469&f...
Applicants will find the position searching the document for
Research Area No. 3 N. 1 position funded on InnoCyPES research program Large scale data management and integration
In particular, applicants are strongly advised to check in the same document the "Additional note for the position funded on the InnoCyPES research program”, in which all of the requirements for this position are listed.
The deadline for applications is July 8 01.00 PM Italian time.
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Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro@unisalento.it E-mail cafaro@ieee.org E-mail cafaro@acm.org
CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro@cmcc.it
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