Job Description

Job Description

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.

Qualifications/Requirements:

• PhD Degree in Computer Science, Electronics, Industrial, Electrical, Mechanical or related Engineering field with focus in forma methods, awareness of Control systems, Natural Language Processing, Machine Learning, or Statistics.
• At least three years of experience in conducting independent research
• Proficient in implementing algorithms and solutions in Python.
• Self-starter, ability to work in ambiguous environments, and excellent communication skills.

Desired Characteristics:

• Strong foundations in design, analysis, and implementation of algorithms in different computing architectures is desired.
• Understanding of formulation and implementation of control algorithms.
• Familiarity with verification and validation of software requirements.

Additional Information