Qualifications and Experience
We are looking for a highly motivated, enthusiastic, energetic person, aiming at significantly improving his or her career perspectives in both public and private sectors. The researcher will be joining the research activities of the SAI RU and working on the design and development of distributed and energy-aware machine learning methods for sustainable edge computing platforms. The successful applicant should have the competences of R2 category, and in particular:
- Required qualifications/skills/experience:
- PhD in Computer Science, Data Science, Telecommunications or closely related fields (at the time of signing the contract).
- Knowledge of Machine Learning (ML) models applied to different tasks such as prediction, classification, anomaly detection and automatic control.
- Knowledge of data mining and software libraries (e.g., python) for ML implementations.
- Good publication record in scientific peer-reviewed journals and conferences.
- Other skills that are valuable, but not mandatory are:
- Outstanding English level.
- Knowledge of Internet of Things, WLANs and mobile networking.
- Knowledge of optimization theory
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