Firjan Senai Scholarship - Call No. 0014/2026

Description

Job Summary: Develop AI algorithms for anomaly detection in rotating machinery, preprocess vibration signals, and build data pipelines for predictive models. Key Highlights: 1. Experience in developing solutions using Python or MATLAB. 2. Practical experience with Digital Signal Processing (DSP) and time series analysis. 3. Experience in predictive maintenance or vibration analysis projects. Job Title Firjan Senai Scholarship \- Call No. 0014/2026 Professional Experience * Proven experience developing software solutions using Python (with emphasis on data libraries such as Pandas, NumPy, Scikit\-learn, and SciPy) or MATLAB. * Practical 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. * Build 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 Contract Type Fixed-term contract Recruitment Process Details Curriculum Screening\* Technical Interview\*\* Document Submission\*\*\* The candidate’s approval will be determined based on information provided in the resume and performance during the technical interview with the managing unit. * Not scored. \*\* Scored; qualifying stage. \*\*\* Not scored; elimination stage. Notes (for Candidates) **Resume submission period:** February 4, 2026 to February 9, 2026 **Screening period:** February 10, 2026 to February 11, 2026 **Interview period:** February 12, 2026 to February 13, 2026 **Results announcement:** February 19, 2026 **Document submission deadline:** February 23, 2026 **Start date of research work:** March 2, 2026 Inclusive Employment Here! Firjan encourages persons with disabilities to participate in its selection processes. Apply now!