Graduate Student Researcher – Time-Series Foundation Models

Job Description

Here is the detailed enriched job description for the GE Vernova Advanced Research graduate student role:

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### Job Title: Graduate Student Researcher – Time-Series Foundation Models for Energy Systems

### Job Description Summary

As a GE Vernova accelerator, GE Vernova Advanced Research is at the forefront of driving strategy and leading critical research & development efforts. Our mission is to execute on the business’s commitment to help power the energy transition by forging collaborations and inventing the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers collaborate with GE Vernova’s businesses, the U.S. government, and over 420 entities. We are actively engaged in 150+ energy-focused projects aimed at solving near-term technical challenges, delivering next-generation product advances, and driving long-term breakthrough innovation. Our goal is to enable more affordable, reliable, sustainable, and secure energy for the world.

Join our powerful, unified force with the energy to change the world. Our mission is BIG, and our TRANSFORMATION is key to bringing the right businesses together to LEAD THE ENERGY TRANSITION. We take our responsibility to address the climate crisis seriously, building on over 130 years of experience. GE Vernova is uniquely positioned to lead the energy transition by continuing to electrify the world while simultaneously working to decarbonize it, helping customers power economies and deliver vital electricity.

### Job Description

We are seeking a Graduate Student with a strong background in AI/ML and expertise in time-series data to research, develop, and test Time-Series Foundation Models (TSFMs) for critical energy systems.

Time-Series Foundation Models (TSFMs) are general-purpose models pre-trained on large-scale, diverse time-series datasets collected from various applications and domains. Similar to Large Language Models (LLMs), TSFMs are designed to be task- and application-agnostic, capable of performing a wide range of time-series tasks such as forecasting, classification, and anomaly detection. This allows them to be trained and deployed at scale across different use cases within the energy sector.

In this role, you will specifically focus on applying these innovative models to energy systems, including gas turbines, wind turbines, and the power grid.

#### Key Responsibilities:

• Research, develop, and test TSFMs for critical energy systems like gas turbines, wind turbines, and the power grid.
• Conduct research on transformer-based architectures tailored for time-series data.
• Perform model training and validation processes effectively.
• Execute hyperparameter optimization leveraging multiple GPUs for efficient model development.

### Qualifications (Required):

• Currently pursuing a PhD or Master’s degree in AI, Computer Science, Estimation and Control Theory, or a closely related field.
• Legal authorization to work in the U.S. is required.
• Export Control Restrictions: Due to the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran, and Cuba). Citizens of these countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship or permanent residency from a non-restricted country can be considered.
• Must be willing to work on-site out of an office located in Niskayuna, NY.
• A minimum GPA of 4.0/5.0 scale or 3.0/4.0 scale.

### Desired Skills:

• Demonstrated scientific curiosity and a strong willingness to explore, learn, and innovate.
• Strong background in AI/ML, deep learning, and mathematical optimization.
• Strong working knowledge of Python and major machine learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with large-scale data storage and processing pipelines (e.g., AWS).
• Familiarity with foundation models, LLM architectures, hyper-parameter optimization, and fine-tuning techniques.
• Prior experience working with time-series data (for forecasting, anomaly detection, etc.).
• Experience with GPU training and parallelization.

### Compensation:

The weekly base pay range for this position is $1,000 – $2,000. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

### Benefits Available To Interns/Co-ops:

While U.S. Internship roles are generally ineligible for full GE Vernova benefits, this position offers specific benefits designed to support our temporary workforce:

• Relocation Assistance: Co-op/Interns will be reimbursed for reasonable, proper, and documented expenditures incurred while initially reporting to work and returning to school/home upon completion of the assignment. Employees with a permanent address greater than 50 miles away from the work location are eligible.
• Housing Allowance: Co-op/Interns employees receive a weekly housing allowance to help off-set living expenses when the co-op/Intern’s permanent residence is at least 50 miles away from the work location.
• Employee Assistance Program (EAP): Providing 24/7 confidential assessment, counseling, and referral services.
• GE Retirement Savings Plan (RSP): Eligibility after their accumulated service reaches 90 days, and they meet any other eligibility requirements as defined in the plans (Eligibility occurs on the 1st of the month following the 90th day).

### Inclusion & Additional Information:

At GE Vernova, we believe in the value of your unique identity, background, and experiences. We are committed to fostering an inclusive culture where everyone feels empowered to do their best work because they feel accepted, respected, and that they belong. Learn more here: [https://jobs.gecareers.com/vernova/global/en/i-d-e](https://jobs.gecareers.com/vernova/global/en/i-d-e)

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova 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.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No (Note: Specific intern/co-op relocation and housing allowances are detailed above).

This posting is expected to remain open until at least September 23, 2025. It was posted on February 03, 2026 (Candidates applying to a U.S.-based position should note this implies it will remain open for at least seven days from the Feb 03, 2026 posting).

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