Job offer
Role details
Job location
Tech stack
Job description
Develop and implement data-based and AI tools for monitoring, prediction and control of smart grids and microgrids, with experimental validation.
Functions to be developed:
- Execute R&D&I projects in digital energy and smart grids at the TECNIO MCIA Center.
- Integrate and launch the smart grid/laboratory microgrid: inverters, sensors and data acquisition.
- Perform fault monitoring and diagnosis in microgrids and systems dominated by inverter-based resources.
- Apply AI/ML for prediction, anomaly detection and control/optimization support.
- Detect attacks and operational robustness of the smart grid.
- Validate, document and disseminate results: reports, demonstrators and publications., * The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points.
- Threshold: 5 points.
- The maximum score (10 points) will be distributed as follows:
- 1 point for required speciality.
- 2 points for required academic training.
- 2 points for technic competences.
- 1 point for organisational competences.
- 3 points for professional experience.
- 1 point for any aspect of the candidate's professional profile to be determined as specially relevant by the Selection committee.
If the selection committee decide to include a personal interview as additional step of the selection process, only the candidates scored 5 or above for their CV will be retained for the interview step.
The interview will be assessed according the following criteria:
- Maximum scoring: 5 points.
- Threshold: 3 points.
- The maximum score will be distributed according the following criteria:
- 2 points for adequacy to functional competences of the job.
- 2 points for adequacy of professional experience.
- 1 point for any aspect of the candidate's professional profile to be determined as especially relevant by the Selection committee.
The eligible candidates will be ranked from highest to lowest score, being this the selection criteria. Selection process
The planned selection process is as follows:
- Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/psr, select the offer that is of interest to you, click on: https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staff-to-carry-out-scientific-and-technical-activities?set_language=en, fill in the form and add the additional documentation indicated.
- The members of the selection committee will decide for each case what the selection process will be, if an assessment is made only for the curriculum vitae or any other procedure is planned: interview, tests, etc ...
- Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request.
- Finally, the name of the person selected will be published on the same website where the offer is published.
Requirements
Bachelor Degree or equivalent, Bachelor Degree or equivalent
Research Field Computer science
Education Level Bachelor Degree or equivalent
Skills/Qualifications
Technical Skills:
- Validation and experimentation with simulation and testing, including real-time simulation.
- Integration and testing in smart grid/microgrid laboratory environments: DAQ, sensors, inverters.
- Connection, programming and operation of power electronic equipment: converters, BESS, programmable sources, etc.
- Programming for data and AI: Python and ML/DL libraries.
Other requirements to consider:
- Autonomy and problem solving in technical and research environments.
- Teamwork and communication with multidisciplinary profiles., * Smart grids and microgrids: inverters and electrical measurements for supervision and control.
- Machine learning and deep learning applied to energy, for classification/diagnosis and prediction.
- Data analysis of electrical systems: prediction, diagnosis and detection of anomalies.
Professional Experience:
- In applied research in smart grids and microgrids, with a focus on supervision, diagnosis and control.
- Development of ML/DL algorithms for fault diagnosis, anomaly detection and prediction.
- Cyber-resilience in cyber-physical energy systems: detection/identification of attacks.
- Publications and scientific dissemination in the field of energy and data.
- Experience in functions similar to those described will be valued, specifically in the development of research activities, both in the university and industrial environment.
Benefits & conditions
€37,183.00 gross/annual (per full-time position) Eligibility criteria
All the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process.