Job reference: AE2018-0171 (INESC TEC LA – LIAAD)
Project: INESC TEC – EEA/50014 (POCI-01-0145-FEDER-006961)
Duration Grant: from 2018-09-01 to 2019-02-28 (6)
Location: INESC TEC, Porto, Portugal
Work Area: Machine learning / user modeling / recommender systems
Project overview: Development and evaluation of machine learning algorithms for user profiling and recommender systems, based on large datasets, textual data and data streams.
Academic Qualifications: Bachelor’s or master’s degree in computer science,computer engineering,statistics/related field
Minimum Profile required: Knowledge on machine learning and programming
Preference factors: Experience in python and/or R programming and publications in the field, knowledge and experience with recommender systems / profiling, knowledge and experience with text mining / NLP.
Monthly Grant: €745,00 (Degree) or 980,00 (MSC) according to the Stipends values of the grants awarded directly by the FCT, paid by bank transfer.
Funding Entity: ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation – COMPETE 2020 Programme, and by National Funds (PIDDAC) through the FCT/MCTES through the FCT/MCTES within project POCI-01-0145-FEDER-006961.
Application period: From 2018-07-18 to 2018-08-03
Application submission: Fill in the electronic form in the section Work with Us at www.inesctec.pt, attaching the Curriculum Vitae, certificate of qualifications and other supporting documents relevant to the final assessment.