.Organisation/Company: University of A CoruñaResearch Field: Computer scienceResearcher Profile: First Stage Researcher (R1)Positions: Bachelor PositionsCountry: SpainApplication Deadline: 25 Sep 2024 - 15:00 (Europe/Brussels)Type of Contract: TemporaryJob Status: Part-timeHours Per Week: 20Offer Starting Date: 1 Dec 2024Is the job funded through the EU Research Framework Programme? European Union / Next Generation EUReference Number: 2024/CP/212Is the Job related to staff position within a Research Infrastructure? NoOffer Description Grant/funding reference: TED2021-130599A-I00 C17 I3 BDNS 598843Job title: Green and Fast Feature Selection AlgorithmsResearch line / Scientific-technical services: Algorithms for data preprocessing: dimensionality reduction, unbalancing and missing dataProject data Title: Green and Fast Feature Selection AlgorithmsThe objective of this contract is to collaborate in the research of the above-mentioned project. This research aims to develop new feature selection methods that consume few computational resources, at the same time speeding up their execution. The person hired will focus his/her work on the adaptation of feature selection methods to be used with reduced precision (less than 64 bits). He/she will also help in the integration of all the algorithms developed in the project.Justification for the duration of the contract: A contract duration of 6 months is proposed, until the completion of the project, and is considered sufficient to complete the research tasks of the project.Minimum Requirements: Candidates must have a degree in Computer Engineering or equivalent. It's also an essential requirement to join the research group during this period.Additional Information Eligibility criteria:A. Knowledge of Matlab, Python and/or C++ (advanced level). They will be valued according to the creditable hours of training (5 points for each course) and the creditable hours of work on projects (2 points for each month of work). Maximum 20 points.B. Knowledge of spoken and written English (demonstrable). 2 points per level from A2 to C2. Maximum 10 points.C. Demonstrable experience, through scientific publications or participation in scientific projects, in the field of machine learning. Each publication will be valued up to 3 points if it corresponds to a scientific journal indexed in JCR, and up to 1.5 points if it corresponds to a relevant international congress. Participation in R&D projects will be valued up to 1 point depending on the category of the project and the number of participants. Maximum 40 points.D. Knowledge of feature selection. It will be valued according to the creditable hours of training (5 points for each course) and the creditable hours of work in projects (2 points for each month of work). Maximum 20 points.E. Personal interview. Maximum 10 points.Based on compliance with the requirements and the assessment of merits, a prioritized order of the candidates will be established
