Embraer S.A. is a Brazilian aerospace conglomerate that produces commercial, military, executive and agricultural aircraft and provides aeronautical services. It is headquartered in São José dos Campos, São Paulo. The company is the third largest producer of civil aircraft, after Boeing and Airbus.
The Systems and Software Technology area is responsible for developing technologies, new processes and tools from Technology Readiness Level (TRL) 3 to 7 which aims to be used in future Embraer’s products. A successful case was the initial development of the software processes and tools used to develop and certify the Fly by Wire software in the KC-390 and E2 airplanes. The team is currently involved in the development of autonomous and highly automated systems with applications in aviation and Urban Mobility.
Project Description and Goals: the main objective is to Develop a Decision Making system/algorithm to deal with unexpected situations. In the aviation context, there are situations where an airplane may face different scenarios as internal system failures, severe weather conditions or intense air traffic with constraints such as limited fuel, performance to land and to fly, safety operation margins, among others, which demands a Decision Making function. A potential application of this system is to allow an autonomous e-VTOL to decide when to abort/continue/change a mission or to assist the crew of a manned e-VTOL to deal with unexpected scenarios in a more safe and efficient way.
Main internship activities: 1.State of the art review concerning Decision Making methodologies - Delivery: Trade Study Analysis; 2.Develop and implement a Decision Making algorithm to manage different scenarios under constraints - Delivery: Implemented algorithm; 3.Demonstrate the effectiveness of the developed algorithm in a simplified model – Delivery: Proof of Concept
Skills & Experience Pre-required: •Aeronautical, Aerospace, Electrical, Software or System Engineer; •Experience Python/C++/R/Java; •Experience with MATLAB/Simulink tool boxes; •Familiar with Decision Making theory; •Familiar with AI (Machine Learning, Pattern recognition and Model-based reasoning); •Self-motivated in identifying process improvement opportunities with ability to provide potential solutions through strong organizational, analytical and problem solving skills.
At least 1 year of experience developing software/algorithms preferred related Decision Making applications.
2) Maintenance Findings Prediction with Embraer Services and Support Business Unit:
The Embraer Services & Support Business Unit is responsible for providing solutions to Embraer customers in order to enhance the operational and economic performance of Embraer fleet around the world. Services and Support solutions involve aspects related to the fleet operation in areas of: Technical Services; Maintenance Repair and Overhaul (MRO); Materials Solutions; Training, Aircraft Enhancement and others. Solutions developed and delivered by Services & Support contribute to the achievement of optimum and cost effective operation of Embraer customers’ fleet. Services & Support counts with a research & technology area where innovative solutions are created, developed and tested in order to validate them and gain maturation for application in the current or future services and support provided by Embraer.
Project Description and Goals: The main objective of the Research & Development Project proposed herein is to develop algorithms and intelligent systems capable to forecast and predict the occurrence of findings on aircraft scheduled maintenance activities. In this context, findings can be defined as any kind of discrepancies, defects or anomalies observed during the accomplishment of a scheduled maintenance task in aircraft systems and structures (checks, inspections, tests, etc.). Findings reported during inspections impose a challenge to the conduction of an aircraft maintenance check in accordance with the initially planned downtime and costs, since they bring additional scope, requiring additional time and unplanned resources for correcting the reported discrepancies. In this scenario, the goal of this project is to create means to determine whether findings will be reported before the actual accomplishment of a maintenance check. That desirable situation allows anticipation of actions and planning measures to accommodate additional time and resources necessary during the maintenance check.
Main internship activities: 1.State of the art review concerning applicable techniques that could be used for predicting maintenance findings – Delivery: study analysis; 2.Develop and implement an algorithm based on AI to predict or infer statistical probabilities of occurrence of findings in a maintenance check – Delivery: implemented algorithms; 3.Demonstrate the effectiveness of the developed algorithm in a simplified model – Delivery: proof of concept
Skills & Experience Pre-required: •Aeronautical, Aerospace, Electrical, Computer Science, Data Science, Software, System Engineering or Mathematics; •Experience in Python / R; Familiar with Data Science and AI (Machine Learning, Prediction techniques and Model-based reasoning); Self-motivated in identifying process improvement opportunities with ability to provide potential solutions through strong organizational, analytical and problem solving skills.
Desirable at least 1 year of experience developing software/algorithms preferred related to AI applications.
3) SE Task Force with Embraer Systems Engineering Team:
Over the past five decades Embraer has established itself as one of the largest aeronautical industries in the world. We are designing the future of urban air mobility and defense solutions, dealing with new highly integrated systems on autonomous platforms. That includes making an all-electric vertical take-off and landing (e-VTOL) aircraft and its ecosystem a reality.
The Embraer Systems Engineering Team has a leadership role in the development and management of complex systems. Our team actively works together with a multidisciplinary group of engineers through the entire system life cycle. We rely heavily on teamwork and empower creative and hardworking people.
Project Description and Goals: This program research interests are in applying decision-making under uncertainty. His/Her principal application domains will be in the development of new systems and technologies including unmanned solutions, autonomous flight and service solutions. 1.Support multi-disciplinary trade studies to evaluate configuration alternatives - Delivery: Trade Study Analysis 2.Support Systems Engineering processes improvement – Delivery: Process Update Proposal; Support the development, decomposition and allocation of system requirements and system functions - Delivery: Architecture Assessment
Intern Role Description: The intern will work at the Chief Engineer's Office to support Embraer’s engineers deliver the trade studies for autonomous flight and help improve Embraer Systems Engineering Processes.
Skills & Experience Pre-required: Self-motivated in identifying process improvement opportunities with ability to provide potential solutions through critical thinking, strong organizational, analytical and problem solving skills; Proficiency in Systems Modeling and Evaluation to support technical understanding and decision-making; Probability and Statistics; Experience C/C++/Python/Java; Software Engineering and System Design; Notion of systems entire lifecycle.
Desirable experience in: Architecture Models, System Definition Documents, Process Modeling and Specification, Model Based Systems Engineering.
Interested? Send an email with subject ‘Embraer’ to email@example.com attaching your resume and cover letter (indicating the project/ projects of interest). Please do this, even if you already applied to the Brazil program through the MISTI Application Portal. When we receive your email, you will be contacted and an in-person interview will be scheduled with the MIT-Brazil Managing Director.