Job Description

Summary We are looking to grow our Software Controls and Optimization team at GE Aerospace Research & are looking for top notch researchers to be part of this exciting journey. As a group, we innovate and execute on the R&D strategy for GE Aerospace on a range of problems from designing inspections solutions for aircraft engines to building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business.





We are looking for highly motivated people with proven track record to conduct research in natural language processing, artificial intelligence, and machine learning and connect these to formal methods constructs. As a Research Intern, you will be working with scientists in GE Aerospace Research to develop and search and recommendation systems to improve the productivity of our Engineering teams. Your responsibilities will include developing and implementing algorithms to process Aerospace domain data for recommendation systems, design experiments, conduct thorough evaluations, and document your work (e.g., publications, invention disclosures). It will also include effectively communicating your findings with the appropriate stakeholders. You will encounter and have an opportunity to tackle unique challenges posed by the data and problems in the Aerospace domain including data quality, highly domain specific vocabulary, and how to integrate NLP/LLM-based solutions into our safety critical and regulated workflows and processes.

Required Qualifications

• Enrolled in full-time Master\xe2\x80\x99s or PhD Degree program in Computer Science, Electronics, Industrial, Electrical, Mechanical or related Engineering field with focus in Natural Language Processing, Machine Learning, or Statistics.
• At least one year of experience in conducting independent research ideally in the following areas: Large Language Models, Entity and Relation extraction, Zero / Few-shot Learning.
• Proficient in implementing algorithms and solutions in Python.
• Self-starter, ability to work in ambiguous environments, and excellent communication skills.

Desired Characteristics

• Enrolled in a PhD Degree program with at least three years of experience in conducting independent research.
• Previous experience in training, fine-tuning (including instruction-tuning), and deploying Large Language Models or working on deploying formal methods solutions for industrial problems.
• Proven track record of publications at top AI conferences (or co-located workshops).
• Experience of working with problems and data from industrial domains (Aviation, Energy, Healthcare, Manufacturing, etc.).
• Strong foundations in design, analysis, and implementation of algorithms in different computing architectures is desired.
• Background in Knowledge Representation and Knowledge Graph technologies is a plus.
• Knowledge and application of advanced controls, optimization, estimation, or detection algorithms.
• Proficiency in MATLAB/Simulink and , C, C++, or Python.
• Demonstrated experience (algorithm development and software implementation) in developing systems solutions for complex physical systems (e.g. mechanical systems, chemical plants, power systems, transportation, aviation systems).

Desired Characteristics

• Experience with real-time implementation of system solutions in a variety of hardware platforms.
• Experience developing controls solutions for industrial applications e.g. \xe2\x80\x9clocomotives, wind turbines, oil & gas systems, power plants, healthcare systems, aerospace.
• Experience in developing model predictive control
• Experience in developing cyber-security algorithms
• Exposure to industrial control hardware programming and industrial control software development
• Strong analytical skills.
• Strong interpersonal skills.
• Self-motivated and ability to work independently and as part of a team.
• Ability to communicate effectively with senior leadership.
• Demonstrated ability to take an innovative idea from a concept to a product.

Additional Information

Relocation Assistance Provided: Yes

General Electric