Firjan Senai Scholarship - Call No. 0022/2026

Description

Job Summary: Scholarship Researcher to develop and validate sensor data preprocessing pipelines, implement digital signal processing techniques, and train AI models. Key Highlights: 1. Focus on developing software solutions using Python or MATLAB. 2. Experience in Digital Signal Processing (DSP) and time series analysis. 3. Involvement in predictive maintenance and condition monitoring projects. Job Title Firjan Senai Scholarship \- Call No. 0022/2026 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 for rotating equipment. Desirable experience with Deep Learning frameworks (TensorFlow, Keras, or PyTorch). Familiarity with industrial sensor data acquisition (accelerometers, thermocouples, rotational speed sensors). Academic Qualifications Completed Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics Engineering, Mechanical Engineering, or Data Science. Programming Languages: Proficiency in Python (libraries Pandas, NumPy, Scikit\-learn, SciPy) and/or MATLAB. Signal Analysis: Solid knowledge of Digital Signal Processing (DSP), Spectral Analysis, and Fourier Transform. Artificial Intelligence: Fundamentals of Machine Learning and Deep Learning (TensorFlow or PyTorch). Physics: Understanding of dynamics of rotating machinery and industrial sensing. Additional Desired Knowledge: Development of REST and/or GraphQL APIs and integration with web and mobile applications. Experience with real\-time data ingestion and storage, especially time series, and building analytical dashboards. Experience in high\-availability production environments, with focus on scalability, monitoring, and cost optimization. Job Responsibilities Develop and validate sensor data preprocessing pipelines (vibration, temperature, current). Implement digital signal processing techniques (FFT, Wavelets, envelope analysis) to extract features in time and frequency domains. Train and optimize Artificial Intelligence models (Supervised and Unsupervised Learning) for anomaly detection and fault classification. Perform fusion of data from multiple sensors (accelerometers, gyroscopes, thermocouples) to enhance diagnostic reliability. Document experiments and support integration of algorithms into embedded systems or cloud platforms. Number of Positions 2 Work Location Remote Salary Range R$3001 to R$4500 per month Contract Type Fixed\-term contract Recruitment Process Details Curriculum Screening\* Technical Interview\*\* Document Submission\*\*\* Candidate selection will be 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. Job Notes Please refer to the following document for details regarding the Public Call for Selection of Scholarship Researcher: Public Call for Selection of Scholarship Researcher \- No. 0022\-2026 All communications related to the selection process, including invitations for each stage, will be sent via e\-mail; please monitor your inbox closely. Also check your spam folder regularly. Notes (for Applicants) Resume submission period: March 09, 2026 to March 15, 2026 Screening period: March 16, 2026 to March 17, 2026 Interview period: March 24, 2026 to March 25, 2026 Results announcement: March 25, 2026 Document submission deadline: March 26, 2026 Research commencement date: April 01, 2026 Professional Inclusion is Here! Firjan encourages persons with disabilities to participate in its selection processes. Apply now!