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Machine Learning Researcher

Associação Fraunhofer Portugal Research
3 May 2023

Job Information

Organisation/Company
Associação Fraunhofer Portugal Research
Research Field
Engineering » Biomedical engineering
Researcher Profile
First Stage Researcher (R1)
Country
Portugal
Application Deadline
Type of Contract
Other
Job Status
Full-time
Hours Per Week
40
Offer Starting Date
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Reference Number
AICOS_Jobs_2023_06
Is the Job related to staff position within a Research Infrastructure?
Yes

Offer Description

Machine Learning Researcher

 

Job Title: Machine Learning Researcher

Job Ref: AICOS_Jobs_2023_06

Job Type: Full time contract.

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

Job Location: Lisbon, Portugal.

Job Description and Responsibilities:

Fraunhofer Portugal AICOS is looking for a researcher specialized in Machine Learning to join the Intelligent Systems Group.

The job offer is focused on the following tasks:

  • Research time series synthetic data generation algorithms for health application areas;
  • Employ, develop and systematically compare different generative Deep Learning models towards synthetic data generation;
  • Explore the use of synthetic data to enhance data privacy and evaluate models’ robustness;
  • Employ and develop best practices of professional data science and machine learning;
  • Write comprehensive reports on approaches tested and results obtained;
  • Share the scientific knowledge obtained with others by giving talks, preparing research proposals, project deliverables and scientific papers.

Academic Qualifications:

Academic Master’s degree in the area of Biomedical Engineering or similar.

Requirements:

  • Excellent Python programming skills;
  • Demonstrated Machine Learning background;
  • Experience in signal processing, feature engineering from time series, generative Deep Learning models;
  • Expertise in programming with at least one of the widespread AI Frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch);
  • Excellent Portuguese and English communication skills (spoken and written).

We value:

  • Motivation to work in a multidisciplinary environment;
  • Ability to work in 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:

  • Excellent work conditions in a stimulating and dynamic environment;
  • Being part of the team of one of the most renown applied R&D institutions of the world;
  • 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 19th of May 2023.

The selected candidate is expected to start working in May 2023.

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 project:

  • AISym4Med – Synthetic and Scalable Data Platform for Medical Empowered AI, with reference HORIZON-HLTH-2022-IND-13-02;
  • NextGenAI – Center for Responsible AI, with reference Projeto nº 62 _ C645008882-00000055.

Requirements

Research Field
Engineering » Biomedical engineering
Education Level
Master Degree or equivalent
Skills/Qualifications

Job Description and Responsibilities:

Fraunhofer Portugal AICOS is looking for a researcher specialized in Machine Learning to join the Intelligent Systems Group.

The job offer is focused on the following tasks:

  • Research time series synthetic data generation algorithms for health application areas;
  • Employ, develop and systematically compare different generative Deep Learning models towards synthetic data generation;
  • Explore the use of synthetic data to enhance data privacy and evaluate models’ robustness;
  • Employ and develop best practices of professional data science and machine learning;
  • Write comprehensive reports on approaches tested and results obtained;
  • Share the scientific knowledge obtained with others by giving talks, preparing research proposals, project deliverables and scientific papers.
Specific Requirements

Academic Qualifications:

Academic Master’s degree in the area of Biomedical Engineering or similar.

Requirements:

  • Excellent Python programming skills;
  • Demonstrated Machine Learning background;
  • Experience in signal processing, feature engineering from time series, generative Deep Learning models;
  • Expertise in programming with at least one of the widespread AI Frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch);
  • Excellent Portuguese and English communication skills (spoken and written).

We value:

  • Motivation to work in a multidisciplinary environment;
  • Ability to work in cross-functional teams;
  • Self-motivated, driving for results, and team-player;
  • Flexible and quick learner;
  • Problem-solving, proactive, and critical thinking attitude.
Languages
ENGLISH
Level
Excellent

Additional Information

Benefits

In return, we offer:

  • Excellent work conditions in a stimulating and dynamic environment;
  • Being part of the team of one of the most renown applied R&D institutions of the world;
  • 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.
Selection process

Application Process:

Applications are permanently open until the ideal candidate is selected. A first “cut-off” to evaluate applications day will occur on the 19th of May 2023.

The selected candidate is expected to start working in May 2023.

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

  • CV – mandatory;
  • Motivation Letter – mandatory;
  • Recommendation Letters are optional but also welcome.
Additional comments

Observation:

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

  • AISym4Med – Synthetic and Scalable Data Platform for Medical Empowered AI, with reference HORIZON-HLTH-2022-IND-13-02;
  • NextGenAI – Center for Responsible AI, with reference Projeto nº 62 _ C645008882-00000055.
Website for additional job details

Work Location(s)

Number of offers available
1
Company/Institute
Associação Fraunhofer Portugal Research
Country
Portugal
State/Province
Lisbon
City
Lisbon
Postal Code
1649-003 Lisboa
Street
Avenida Prof. Gama Pinto, 2

Where to apply

E-mail
jobs@fraunhofer.pt

Contact

State/Province
Porto
City
Porto
Website
Street
Rua Alfredo Allen
Postal Code
4200-135
E-Mail
antonio.antunes@fraunhofer.pt