Post Doc Fellow

GE Aerospace; Bengaluru; On-site; INR 6,75,000 - 9,00,000; Full time

Job summary

A leading aerospace company in Bengaluru is seeking a Research Intern to develop advanced search and recommendation systems. Candidates should have a Master's or PhD in relevant engineering fields with strong skills in Natural Language Processing and Machine Learning. This role requires at least one year of research experience and proficiency in Python. The successful candidate will work on innovative projects in a collaborative environment dedicated to sustainable aerospace advancements.

Qualifications

• 4+ years experience or PhD during study in relevant fields.
• Experience conducting independent research on Large Language Models.
• Proficient in implementing algorithms in Python.

Responsibilities

• Develop search and recommendation systems.
• Design experiments and conduct evaluations.
• Communicate findings with stakeholders.

Skills

Natural Language Processing

Machine Learning

Data analytics

Python

Data analytics

Python

Education

Master's degree in Computer Science or related field

PhD in relevant area

Job description

Overview

Job Description Summary We are looking to grow our AI Systems at GE Aerospace Research and are seeking top researchers to join this exciting journey. Our group innovates and executes the R&D strategy for GE Aerospace on problems ranging from designing inspections solutions for aircraft engines to building predictive/prescriptive analytics that improve process efficiencies in the business.

Site Overview

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.

Responsibilities

• As a Research Intern, you will work with scientists in GE Aerospace Research to develop search and recommendation systems to improve the productivity of our Engineering teams. You will develop and implement algorithms to process Aerospace domain data for recommendation systems, design experiments, conduct thorough evaluations, and document your work (e.g., publications, invention disclosures). You will communicate your findings with the appropriate stakeholders. You will tackle unique challenges posed by data and problems in the Aerospace domain, including data quality, domain-specific vocabulary, and integrating NLP/LLM-based solutions into safety-critical and regulated workflows and processes.

Required Qualifications

• Full-time Master’s with 4+ years of experience or PhD Degree program in Computer Science, Electronics, Industrial, Electrical, Mechanical or related Engineering field with specialization in Natural Language Processing, Machine Learning, AI or Statistics.
• At least one year of experience conducting independent research, ideally in Large Language Models, Entity and Relation extraction, Zero/Few-shot Learning.
• Proficient in implementing algorithms, data pipelines and solutions in Python.
• Self-starter with the ability to work in ambiguous environments and excellent communication skills.

Ideal Candidate

• Experience in data analytics, optimization, estimation, or detection algorithms.

Desired Characteristics

• PhD Degree with at least three years of independent research experience.
• Experience training, fine-tuning (including instruction-tuning), and deploying Large Language Models.
• Proven track record of publications at top AI conferences (or co-located workshops).
• Experience with problems and data from industrial domains (Aviation, Energy, Healthcare, Manufacturing, etc.).
• Strong foundations in design, analysis, and implementation of algorithms across computing architectures.
• Experience with computer vision algorithms is a plus.

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.