Machine Learning Researcher
Associacao Fraunhofer Portugal Research
Porto, Portugal
há 3 dias
source : Euraxess

About Us :

Fraunhofer Portugal’s mission to undertake applied research of direct utility to private and public enterprises and of wide benefit to society currently materializes itself through the Fraunhofer Portugal Research Center for Assistive Information and Communication Solutions (AICOS), located in Porto and born in 2009 following a partnership between the Fraunhofer Society (Fraunhofer-Gesellschaft), the Foundation for Science and Technology and the University of Porto.

With a team of over 80 hired researchers and a client portfolio from a broad range of areas, such as health, agriculture, retail or energy, AICOS has consolidated competence in :

  • Human-Centred Design;
  • Artificial Intelligence;
  • Cyber-physical systems.
  • User analysis in different environments, computer vision, cognitive and decision support systems, and the internet of things are some of the fields of study in this research centre which steers its activities towards applied research and its clients’ success, with whom it establishes close cooperation for the development of innovative, intuitive, accessible and ubiquitous technological solutions.

    Currently, the innovation themes of interest to AICOS are the following :

  • Cognitive connected solutions;
  • Digital farming;
  • Accountable artificial intelligence;
  • Decentralised health technology;
  • Living and ageing with data.
  • AICOS’ track record in institutional and commercial collaborations has built a vast network of active partners. Since 2009, AICOS has been involved in 10 European projects and established partnerships with over 150 organizations in 31 countries.

    In order to expand our team, AICOS is interested in applications from candidates feeling to contribute in the particular fields addressed by the centre.

    We are looking for team players capable of providing excellent qualifications and the skills described below.

    Job Title : Machine Learning Researcher

    Job Ref : FhP Jobs 2021 19

    Job Type : Full time contract.

    Job Salary : Depending on the academic degree and professional experience of the candidate.

    Job Location : Porto, Portugal.

    Job Description and Responsibilities :

    The candidate will perform research activities within the Intelligent Systems group, namely in the area of Predictive Modelling & Recommendation.

    The candidate will work on the following tasks :

  • Research and develop time series processing algorithms for several application areas industrial processes, healthcare);
  • Research and implement machine / deep / reinforcement learning models and validate them in a relevant scenario;
  • Write deliverables and contribute to research papers.
  • Personal Skills :

    Motivation to work in a multidisciplinary environment will be valued. Previous working experience on relevant areas will be highly regarded.

    The candidate must be able to work autonomously and show excellent Portuguese and English communication skills.

    Academic Qualifications :

    Academic Master’s degree or equivalent academic qualifications (or equivalent second cycle complete) in the area of Biomedical Engineering, Informatics Engineering and Computer Science or similar.

    Other Skills :

  • Excellent programming skills (Python preferred);
  • Experience in time series analysis and machine learning;
  • Scientific knowledge in machine learning framework(s) (Sklearn, TensorFlow, Keras, PyTorch);
  • Experience in reinforcement learning and signal processing physiological signals) will be valued;
  • Proficiency in Portuguese and English, both spoken and written.
  • Professional Experience :

    More than 12 months of professional experience or research experience in R&D projects.

    What we offer :

  • Excellent work conditions;
  • Being part of the team of one of the most renown applied R&D institutions of the world;
  • Adequate salary (depending on the academic degree and professional experience);
  • Private health insurance plan.
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