Job Title: Time Series Scientist
Job Ref: AICOS_Jobs_2025_25
Job Type: Full-time contract
Job Location: Porto, Portugal
Fraunhofer Portugal AICOS is seeking a talented Time Series Scientist to join our dynamic and multidisciplinary team within the Intelligent Systems group, focusing on machine learning and time series analysis applied to health data. You will contribute to the Digital Health business area.
Responsibilities
* Develop and implement advanced time series models to analyze temporal data.
* Research and develop cutting‑edge ML and DL techniques to integrate time series data and other modalities for health‑related applications.
* Investigate and apply the latest breakthroughs in AI to enhance understanding, prediction, and decision‑making in health‑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 in Data Science, Engineering, or related field.
* Technical Skills – Excellent Python programming skills and experience with data science and ML frameworks such as Pandas, Scikit‑learn, SciPy, TensorFlow, Keras, PyTorch.
* Solid background in machine learning and time series analysis.
* Hands‑on experience in event prediction based on biometric data.
* Excellent English communication skills (technical and general audiences).
* Capacity to translate research findings into actionable insights for real‑world applications.
We Value
* Experience with time series techniques applied to biometric data and willingness to deepen expertise.
* Interest in advancing AI solutions that perform robustly under diverse conditions.
* Ability to work with cross‑functional teams.
* Autonomous, dependable, and enthusiastic team‑player.
* Problem‑solving, proactive, and critical‑thinking attitude.
Why Should You Join Fraunhofer Portugal
* Innovative Environment – a people‑centric workplace that fosters creativity and out‑of‑the‑box thinking.
* Research with Impact – projects at the intersection of research and real‑world applications.
* Multidisciplinary Teams – collaboration with professionals from diverse backgrounds.
* Professional Excellence – culture of continuous improvement and excellence.
* Flexible Work Arrangements – flexible hours and work‑from‑home options.
* Comprehensive Benefits – partially funded health insurance and additional perks.
* Supportive Culture – collaboration, mutual support, and celebration of team achievements.
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.
Applications must be sent to jobs@fraunhofer.pt and contain:
* Curriculum Vitae – mandatory.
* Motivation Letter – mandatory.
* Qualifications certificate and diploma supplement with transcripts – mandatory, or declaration of honor confirming the degree at the beginning of the contract.
* Recommendation Letters – optional.
Selection Process
Admitted candidates will be subject to a curricular evaluation. Top‑ranked candidates will be invited for an interview. All applicants will be notified of the result via the email address provided. After notification, candidates have 10 days to comment.
Note
The research activities for this opportunity are planned within the following projects:
* HfPT – Health from Portugal, Notice No. 02/C05-i01/2022 and Project Reference No. 41 – NextGenerationEU (PRR) Copromotion.
* NextGenAI – Center for Responsible AI, Notice No. 01/C05-i01/2021 and Project Reference No. 62 – NextGenerationEU (PRR) Copromotion.
* PersonalTrainerEXpanded – Personal Trainer Expanded, Notice No. MPr-2023-07 SIID-ID – Portugal 2030 Copromotion.
* SmILE – Smart Implants for Life Enrichment, Notice No. HORIZON-HLTH-2023-STAYHLTH-01-01 and Project Reference No. 101136376 – Horizon Europe.
Seniority level
* Entry level
Employment type
* Full-time
Job function
* Research, Analyst, and Information Technology
* Industries: Research
Referrals increase your chances of interviewing at Fraunhofer Portugal AICOS by 2x
#J-18808-Ljbffr