Job Summary: Develop and implement AI algorithms for anomaly detection in rotating machinery and perform signal preprocessing. Key Highlights: 1. Experience with Python or MATLAB for data software development. 2. Experience in Digital Signal Processing (DSP) and time series analysis. 3. Involvement in predictive maintenance and vibration analysis projects. Job Title Firjan Senai Scholarship \- Call No. 0014/2026 Professional Experience * Proven experience developing software solutions using Python (focusing on data libraries such as Pandas, NumPy, Scikit\-learn, and SciPy) or MATLAB. * Experience with Digital Signal Processing (DSP) and time series analysis (time and frequency domains). * Prior involvement in predictive maintenance, condition monitoring, or vibration analysis projects for rotating equipment. * Desired experience with Deep Learning frameworks (TensorFlow, Keras, or PyTorch). * Familiarity with industrial sensor data acquisition (accelerometers, thermocouples, rotational speed sensors). Academic Qualifications Bachelor’s degree completed in Electrical Engineering, Computer Engineering, Mechatronics Engineering, Mechanical Engineering, or Data Science. Job Responsibilities * Develop and implement Artificial Intelligence algorithms for anomaly detection and fault diagnosis in rotating machinery. * Perform preprocessing of raw vibration signals, applying techniques such as Fast Fourier Transform (FFT), envelope analysis, and digital filtering. * Create data pipelines for sensor fusion (vibration, temperature, current) to enhance the accuracy of predictive models. * Experimentally validate developed models using real-world and bench test data. * Document development stages and generate technical reports for the engineering team. Number of Positions 2 Work Location UFRJ Technology Park Salary Range R$1\.500,00 to R$2\.000,00 Employment Type Fixed-term contract Recruitment Process Details Curriculum Screening\* Technical Interview\*\* Document Submission\*\*\* The candidate’s approval will be determined based on information available in the resume and performance during the technical interview with the managing unit. * Not subject to scoring. \*\* Subject to scoring; qualifying stage. \*\* Not subject to scoring; elimination stage. Notes (to Applicants) **Resume submission period:** February 04, 2026 to February 09, 2026 **Screening period:** February 10, 2026 to February 11, 2026 **Interview period:** February 12, 2026 to February 13, 2026 **Results announcement date:** February 19, 2026 **Documentation submission deadline:** February 23, 2026 **Research work commencement date:** March 02, 2026 Professional Inclusion is Here! Firjan encourages persons with disabilities to participate in its selection processes. Apply now!