Time Series Scientist (Job Ref: AICOS_Jobs_2025_25) Porto

Organisation/Company: Associação Fraunhofer Portugal Research Department Human resources Research Field Engineering » Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 12 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Other Type of Contract Extra Information Other Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov 2025

As a researcher at AICOS you will work at the forefront of AI innovation, creating purposeful technologies that positively transform industries, promoting social
- being and improving quality of life.

Your role:

• Develop and implement advanced time series models to analyze temporal data;
• Research and develop
  - edge ML and DL techniques to integrate time series data and other modalities for
  - related applications;
• Investigate and apply the latest breakthroughs in AI to enhance understanding, prediction, and
  - making in
  - related challenges;
• Deliver clear and concise reports on developed models and provide proper software documentation.

Your profile:

• Mandatory Requirements:
  • Academic Qualifications: Master’s degree or equivalent academic qualifications in Data Science and Engineering.
• Technical Skills:
  • Excellent Python programming skills and experience with data science and ML frameworks (e. g. , Pandas, Scikit-learn, Sci
    Py, Tensor
    Flow, Keras, Py
    Torch, etc. );
  • Solid background in machine learning and time series analysis;
  • Hands-on experience in event prediction based on biometric data.
• Other Skills:
  • Excellent English communication skills (technical and general audiences);
  • Capacity to translate research findings into actionable insights for
    - world applications.

We value:

• Experience with time series techniques applied to biometric data, and a willingness to deepen expertise is this emerging field;
• Interest in advancing AI solutions that maintain robust performance under diverse and challenging conditions;
• Ability to work with
  - functional teams;
• Autonomous, dependable, and enthusiast
  - player;
• Problem-solving, proactive, and
  - thinking attitude.

Why should you join Fraunhofer Portugal:

• Innovative Environment: Be part of a
  - centric workplace that fosters creativity and
  -
  -
  - box thinking. We encourage the development of new ideas and ensure that every voice is heard;
• Research with Impact: Engage in projects that sit at the intersection of research and
  - world applications, contributing to technology that makes a tangible difference in society;
• Multidisciplinary Teams: Collaborate with professionals from diverse backgrounds, enhancing your learning and professional growth;
• Professional Excellence: Work within a culture that upholds professional standards and best practices, promoting continuous improvement and excellence in research;
• Flexible Work Arrangements: Benefit from flexible working hours and hybrid work opportunities, supporting a healthy
  - life balance;
• Comprehensive Benefits: Benefit from a partially funded health insurance plan, and a variety of additional perks;
• Supportive Culture: Join a team with an excellent spirit, where collaboration, mutual support, and team achievements are celebrated.

Application Process:

Applications are open from the 3rd to the 12th of October 2025.

The selected candidate is expected to start working in November 2025.

• Qualifications certificate and diploma supplement with transcripts – mandatory or declaration of honor confirming the degree at the beginning of the contract;

Selection process:

Admitted candidates will be subject to a curricular evaluation. Based on the results, the
- ranked candidates will be invited for an interview. All applicants will be notified of the results of the call via the email address provided in their application.

After notification, all candidates have 10 days to comment.

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

• Sm
  ILE – Smart Implants for Life Enrichment, with Notice No. HORIZON-HLTH-2023-STAYHLTH-01-01 and Project Reference No. 101136376 - Horizon Europe.

Where to apply

E-mail jobs@fraunhofer. pt

Requirements

Research Field Engineering » Other Education Level Master Degree or equivalent

• Mandatory Requirements:
  • Academic Qualifications: Master’s degree or equivalent academic qualifications in Data Science and Engineering.

Technical Skills:

• Excellent Python programming skills and experience with data science and ML frameworks (e. g. , Pandas, Scikit-learn, Sci
  Py, Tensor
  Flow, Keras, Py
  Torch, etc. );
• Solid background in machine learning and time series analysis;
• Hands-on experience in event prediction based on biometric data.

Other Skills:

• Excellent English communication skills (technical and general audiences);
• Capacity to translate research findings into actionable insights for
  - world applications.