Job Summary: Develop and implement AI algorithms for anomaly detection and fault diagnosis in rotating machinery, with a focus on predictive maintenance. Key Highlights: 1. Proficiency in Python (Pandas, NumPy, Scikit-learn, SciPy) or MATLAB. 2. Experience in Digital Signal Processing (DSP) and time series analysis. 3. Experience in predictive maintenance and condition monitoring. 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. * 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. * Familiarity with Deep Learning frameworks (TensorFlow, Keras, or PyTorch) is desirable. * Familiarity with industrial sensor data acquisition (accelerometers, thermocouples, rotational speed sensors). Academic Qualifications Bachelor's degree 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 multi-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 steps 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\*\*\* Candidate approval will be determined based on information provided in the resume and performance during the technical interview conducted by the managing unit. * Not scored. \*\* Scored; qualifying stage. \*\* Not scored; elimination stage. Notes (to Applicants) **Resume submission period:** February 4, 2026 – February 9, 2026 **Screening period:** February 10, 2026 – February 11, 2026 **Interview period:** February 12, 2026 – February 13, 2026 **Results announcement:** February 19, 2026 **Document submission deadline:** February 23, 2026 **Research work commencement date:** March 2, 2026 Inclusion at Work! FIRJAN encourages persons with disabilities to participate in its selection processes. Apply now!
João Silva
Indeed · HR
João Silva
Indeed · HR
