ORGANISATION/COMPANYNational Technical University of Athens (NTUA)
RESEARCH FIELDEngineering › Computer engineeringEngineering › Electrical engineering
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE31/01/2021 23:00 - Europe/Athens
LOCATIONGreece › Zografou, Athens
TYPE OF CONTRACTTemporary
HOURS PER WEEK40
OFFER STARTING DATE01/03/2021
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER955422
National Technical University of Athens (NTUA) is looking for an Early-Stage Researcher (ESR) to work on the GECKO project under the HORIZON 2020 call.
Smart technology is everywhere - in our homes, pockets, and networks. Is smarter use of energy essential for low-carbon energy systems of the future? Or is smartness just a buzzword for new gadgets that require ever-more energy and worsen the digital divide? Smart technology is a mass of hopes, fears and contradictions.
This PhD offers a unique opportunity to tackle energy-related issues and uncover consumption patterns, supported by a major new EU-wide PhD training network. This interdisciplinary ‘GECKO’ network connects leading social, computer and data scientists working on smart technology, artificial intelligence, human-computer interaction, energy, climate change, and responsible innovation.
GECKO will target interpretable and explainable Artificial Intelligence (AI) and explore alternative methods to build machine learning (ML) models drawing on the latest developments in information and social sciences. An inter-disciplinary methodology will be adopted to tackle the most prominent application example driver, where ML and social science must be considered together: addressing urgent sustainability and energy efficiency needs, where a successful responsible AI technology must embed social science understanding of people’s actions and how they interact with technology. GECKO will train the next generation of research leaders in this exciting and emerging field at the intersection between smart technologies, energy, big data, algorithm design, and user behavior.
The candidate will work on applying deep-learning techniques on energy signals to improve semantic description of energy signals and identify key consumption patterns. The 36-month program will allow the ESR to work within a multidisciplinary team, enhance his/her knowledge on deep learning techniques and help addressing urgent environmental needs. Exciting benefits are also part of the program, such as:
• doing secondments abroad (Germany, Sweden)
• multiple training and career development opportunities, such as training events, networking events and conferences
• being part of a vast PhD network of 15 researchers across 9 European academic and industrial institutions
• very competitive salary of up to 3750€ monthly (incl. base salary, mobility allowance, family allowance)
The selection process consists of an interview with the selection committee and possibly a written test on related topics, such as Machine Learning, Signal Processing, Pattern Recognition etc. Due to Covid-19, the interview and the written test will be held remotely.
The candidate should provide the following documents:
- cover letter, stating their willingness to apply for this position
- a detailed CV
- a copy of the candidate's degrees (B.Sc., M.Sc,), along with a description of the completed courses and the corresponding grades. Certificates from online courses should also be provided, if available.
- Certificates of work experience (any type of contract)
- Certificates of languages (English-C2 is required, German/Swedish-C1 is a plus).
- Any other document that the applicants deem to be necessary to strengthen their position.
For the enrolment, a certification of equivalence of the applicant’s academic titles to those of Greek universities is required. The certification is provided by the official Greek authorities at a later stage after the successful selection of the most appropriate candidate by the recruitment committee.
The candidate must send all the relevant documents:
1) by email to firstname.lastname@example.org
2) by post to:
For the Gecko Project
Responsible: Prof. Anastasios Doulamis
National Technical University of Athens
Eidikos logariasmos kondylion erevnas EMP (ELKE) (Special research account of the NTUA)
Administration building (ELKE EMP)
Heroon Polytechniou 9
Tel. +30 210 772 1348
+30 210 772 1667
The ideal candidate should:
1) Have a strong background in programming and machine learning (can be showcased through curriculum courses or certified courses on online platforms).
2) Have work experience with Signal Processing (ex. images, video) in a research environment.
3) Possess programming experience in languages such as Python, Matlab and C++ as well as Python-related deep learning frameworks (ex. Keras/Tensorflow, Pytorch). Knowledge of additional programming languages is a plus.
4) Have knowledge of the German or Swedish language (level C1 or higher), due to secondments in the aforementioned countries.
The applicant must:
1) Hold a BSc and MSc in Electrical and/or Computer Engineering (300 ECCS points).
2) Be in the first 4 years from the date when the applicant obtained the first degree entitling them to embark on a doctorate. This means that there should not be more than 4 years from the award of their first MSc degree.
3) Be enrolled or be willing to enroll in a PhD program at NTUA (School of Rural and Surveying Engineering, Photogrammetry and Computer Vision lab).
4) Not have resided or carried out their main activity (work, studies, etc.) in Greece 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 Convention are not taken into account.
5) Be working mostly on-site and be willing to travel as required.
6) Possess excellent command of the English language (Level C2).
EURAXESS offer ID: 591426
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