Senior Machine Learning Researcher

Website FhP_AICOS Associação Fraunhofer Portugal Research

Fraunhofer Portugal: A Driving Force in Innovation.

Job Title: Senior Machine Learning Researcher

Job Ref: FhP_Jobs_2021_18

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 is expected to contribute for the innovation area of Decentralized Health Technology and Cognitive Connected Solutions.

The candidate will work on the following tasks:

–       Research and develop time series processing algorithms for human behaviour analysis;

–       Research and implement machine learning / deep learning models for time series segmentation and classification (e.g., activity recognition);

–     Research and develop time series processing algorithms for trend analysis / anomaly detection for predictive maintenance of industry machinery equipment;

–     Write deliverables and contribute to research papers;

–       Manage the project team, expenses and coordinate the communication with partners.

Technical Skills:

Candidates with experience in the development of machine learning methods and knowledge in time series analysis, and predictive modelling are preferred. Motivation to work in health and industry applications 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 PhD degree or equivalent academic qualifications (or equivalent third cycle complete) in the areas of Biomedical Engineering, Informatics Engineering and Computer Science or similar.

Other Skills:

–     Excellent programming skills (Python preferred);

–     Experience in machine learning;

–     Scientific knowledge in machine learning framework(s) (Sklearn, TensorFlow, Keras, PyTorch);

–     Experience in time series analysis, and predictive modelling will be valued;

–     Experience in project and team management;

–     Proficiency in English and Portuguese, both spoken and written.

Professional Experience:

More than 4 years 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.

Application Process:

Applications are permanently open until the ideal candidate is selected. A first “cut-off” to evaluate applications day will occur on the 11th of June 2021.

The selected candidate is expected to start working in July 2021.

Applications must be made to the email jobs@fraunhofer.pt and contain:

–     CV – mandatory;

–     Motivation Letter – mandatory;

–     Recommendation Letters are optional but also welcome.

 

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 above.

 

Observation:

The research activities in the scope of this job opportunity are planned to be developed within the framework of projects:

–     SAIFFER – Service assisted by AI to guarantee staff and safety security, with reference E! 114310;

–     COTIDIANA – Mobile Patient-centred System to Improve Drug Trials and Care of Older-adults with Rheumatic Diseases, with reference AAL/0007/2020;

–     NewGenTSFAE – New Generation Test Systems for Future Automotive Electronics, with reference POCI01-0247-FEDER-046990.


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To apply for this job email your details to jobs@fraunhofer.pt