Pos-Doctoral Scholarship In Machine Learning

Organisation/Company: Universidade Federal de Minas GeraisDepartment: Computer ScienceResearch Field: Computer science » Digital systemsResearcher Profile: Recognised Researcher (R2)Positions: Postdoc PositionsCountry: BrazilApplication Deadline: 10 Oct 2024 - 23:59 (America/Sao_Paulo)Type of Contract: Not ApplicableJob Status: Not ApplicableOffer Starting Date: 1 Nov 2024Is the job funded through the EU Research Framework Programme? Not funded by a EU programmeIs the Job related to staff position within a Research Infrastructure? NoOffer Description24-month postdoctoral fellowship focused on: Machine Learning, Deep Learning, Explainable AI.Candidates must have completed a PhD in Computer Science, Computational Mathematics, Statistics, Electrical Engineering, or related fields within the last 7 years.Selection criteria will include demonstrated research ability in machine learning and training deep learning models.To apply, please send the following items by email (PDF files only) to ******, by October 10th 2024:Letter of interest, containing complete contact information, year of graduation, concisely responding to the research emphases and criteria above;Resume. Indicate "CI-IA Saúde UFMG" in the subject field of the message.The position is open to Brazilians and foreigners. The selected candidate will receive a FAPESP Postdoctoral Scholarship in the amount of R$12,000.00 per month and a Technical Reserve equivalent to 10% of the annual value of the scholarship to cover unforeseen expenses directly related to the research activity.Where to applyE-mail: ******RequirementsResearch Field: Computer scienceEducation Level: PhD or equivalentLanguages: ENGLISHLevel: ExcellentYears of Research Experience: 1 - 4Additional InformationWork Location(s)Number of offers available: 1Company/Institute: Universidade Federal de Minas GeraisCountry: BrazilState/Province: Minas GeraisCity: Belo HorizonteContactWebsite: https://dcc.ufmg.br/en/homepage/Street: Avenida Antonio Carlos 6627Postal Code: 31270-901
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