Senior Scientist Machine Learning for time series

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Website FhP_AICOS Associação Fraunhofer Portugal Research

Fraunhofer Portugal: A Driving Force in Innovation.

Senior Scientist Machine Learning for time series

 

Job Ref: FhP_Jobs_2021_25

Job Type: Full time – fixed term contract.

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

Job Location: Porto, Portugal.

 

JOB DESCRIPTION

Fraunhofer Portugal AICOS is looking for a senior scientist specialized in Machine Learning for time series.

The Senior Scientist role is highly strategic for Fraunhofer Portugal AICOS’s quest to create scientific knowledge capable of generating added value to its clients and partners. As a Senior Scientist at AICOS, you will create purposeful technology to promote economic growth, social well-being and improve the quality of life of its end-users.

Working within the Intelligent Systems Group, you will lead small teams of researchers and work hand in hand with clients and partners to conceptualize, plan and develop impactful AI-based solutions.

Your responsibilities:

–     Scientifically guide researchers specialized in Machine Learning for time series;

–     Employ state-of-the-art machine learning and deep learning methods for time series segmentation and classification;

–     Plan and guide developments in anomaly detection, trend analysis, predictive modelling and time series forecasting;

–     Be updated in the latest scientific findings in your area of specialization and share your knowledge with the team;

–     Develop and share best practices of professional data science and machine learning;

–     Collaborate with teammates, clients, partners and domain experts to generate new project ideas, and to conceptualize new AI solutions that create business value and positive impact on society;

–     Lead projects by maintaining effective communication within project team and with external partners and ensuring milestones and deadlines are successfully met;

–     Share your knowledge with others by giving talks, preparing research proposals, project deliverables and scientific papers.

Requirements:

–     PhD degree in Computer Science, Data Science, Biomedical Engineering, Electrical Engineering, Mathematics, Physics, or related studies;

–     Excellent Python programming skills;

–     Demonstrated Machine Learning background, with relevant hands-on experience applying ML models to time series data;

–     Expertise in programming with widespread AI Frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch);

–     Excellent Portuguese and English communication skills (technical and business audiences).

We Value:

–     Hands-on professional experience in developing AI-based solutions demonstrated through scientific publications and/or successful product development;

–     In-depth knowledge of machine learning pipelines and data product journey (data collection, data labelling, data preparation, model development, model evaluation, model optimization, model deployment);

–     Feature engineering from time series knowhow;

–     Previous experience in AI projects for health or manufacturing domains;

–     Experience with software development and deployment tools (e.g., Git version control, unit tests, containers);

–     Experience or training in project management;

–     Ability to work with cross-functional teams;

–     Self-motivated, driving for results, and team-player;

–     Flexible and quick learner;

–     Problem-solving, proactive, and critical thinking attitude.

In return, we offer you:

–     Excellent work conditions in a stimulating and dynamic environment with opportunities to contribute to a number of innovation topics and application areas in relation to healthcare solutions and services, but not only. You have the opportunity to contribute to the growth of your team;

–     Opportunity to lead the way in your technical field and make the difference in creating AI solutions that generate value and impact;

–     Excellent conditions of employment including attractive salary (depending on the academic degree and professional experience), private health insurance plan, access to entrepreneurship programmes and a people-centric environment.

Why should you join Fraunhofer Portugal:

Operating as it does at the interface between science, research and industry, Fraunhofer offers a broad spectrum of professional opportunities and a working environment that encourages creativity and the development of new ideas, in which personal and career development go hand in hand. Fraunhofer’s HR management aims to create fertile ground for such progress by establishing the necessary framework of programs and other supporting measures.

Application Process:

Applications are permanently open until the ideal candidate is selected. A first “cut-off” to evaluate applications day will occur on the 15th of October 2021.

The selected candidate is expected to start working in November 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.

 

Observation:

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

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

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


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