Junior Machine Learning Scientist (Job Ref: AICOS_Jobs_2025_14)

Descrição do trabalho

Organisation/Company Associação Fraunhofer Portugal Research Department R&D Research Field Computer science » Programming Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 15 Aug 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 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number AICOS_Jobs_2025_14 Is the Job related to staff position within a Research Infrastructure? YesOffer Description. Junior MLScientist. Job Title:Junior Machine Learning Scientist. Job Ref: AICOS_Jobs_2025_14. Job Type:Full time contract. Job Location:Porto, Portugal. Job Description:. Fraunhofer Portugal AICOS is seeking a talented Junior ML Scientist to join our dynamic and multidisciplinary team within the Intelligent Systems Group. In this role, you will be at the forefront of technological innovation, working on applied research projects that bridge the gap between- edge research and- world impact. You will contribute to initiatives that enhance industries, promote social- being, and improve quality of life. Your role:Develop advanced anomaly detection and forecasting modules to analyse financial time series, identify risks and provide strategic insights based on historical data trends. Your profile:Academic Qualifications: Master’s degree or equivalent qualifications in Computer Science, Electrical and Computer Engineering, Data science, Artificial Intelligence or related studies.Technical Skills:Programming proficiency in Python and experience with machine learning frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch);Interest in creating machine learning models from time series.Other skills:Excellent English communication skills (technical and general audiences);Capacity to translate research findings into actionable insights for- world applications. We value:Familiarity with machine learning for tabular data and time series;Experience or interest in forecasting;Interest in applied research in AI and ML;Ability to work effectively in multidisciplinary and- functional teams;Autonomous, dependable, proactive, and a- thinking team player. 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 permanently open until the ideal candidate is selected. The first evaluation of applications will occur on 28th of July 2025. The selected candidate is expected to start working in September 2025.Recommendation Letters (optional but welcome). Note:. The research activities in the scope of this job opportunity are planned to be developed within the framework of the following projects:Where to apply. E-mail [email protected]. Research Field Computer science » Programming Education Level Master Degree or equivalent. Research Field Engineering » Computer engineering Education Level Master Degree or equivalent. Research Field Engineering » Electrical engineering Education Level Master Degree or equivalent. Skills/QualificationsAcademic Qualifications: Master’s degree or equivalent qualifications in Computer Science, Electrical and Computer Engineering, Data science, Artificial Intelligence or related studies.Languages ENGLISH Level ExcellentAdditional Information. Selection process. Application Process:. Applications are permanently open until the ideal candidate is selected. The first evaluation of applications will occur on 28th of July 2025. The selected candidate is expected to start working in September 2025.Recommendation Letters (optional but welcome).Additional comments. Note:. The research activities in the scope of this job opportunity are planned to be developed within the framework of the following projects:#J-18808-Ljbffr