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职位TotalEnergies

Power System Modeling Researcher

TotalEnergies

Power System Modeling Researcher

TotalEnergies

·

On-site

·

Full-time

·

3w ago

Country

United States / US

City

HOUSTON

Workplace location

HOUSTON(USA)

Employer company

Total Energies E&P Research & Technology USA, Inc.

Domain

Operations, Strategy Economics Business

Type of contract

Regular position

Experience

Minimum 3 years

Context & Environment

Why Join Total Energies?

You’ll help shape some of the most important questions in the energy transition:

  • How will the grid evolve as renewable penetration grows?
  • Where will future congestion emerge—and why?
  • How can transmission planning, market design, and new technologies improve reliability?

Your work will directly inform strategic investments, renewable deployment, and long‑term asset optimization. You won’t just be running models—you’ll be influencing the future of the U.S. power system.

🌍 Shape the Future of Grid Reliability & Renewable Integration

Total Energies is accelerating the energy transition—and advanced power system modeling is at the center of it. We are seeking a Power Systems Modeling Research Scientist who is passionate about transmission analysis, congestion modeling, and grid reliability. In this high‑impact role, you’ll develop and run sophisticated power flow models to help us understand grid constraints, inform renewable deployment, and support long‑term asset strategy.

This is a unique opportunity to work at the intersection of engineering, data, and energy markets—translating grid physics into actionable insights that shape the future of clean power.

Activities

💼 What You’ll Do

Advanced Grid Modeling & Analysis

  • Build and maintain detailed AC and DC power flow models using tools like PSS®E, Power World, and PLEXOS.
  • Analyze congestion patterns, constraint utilization, and nodal impacts across U.S. transmission systems.
  • Evaluate system reliability through contingency analysis (N‑1, N‑k, N‑1‑1).

Data, Topology & System Insights

  • Develop and manage datasets for grid topology, outages, ratings, and operational assumptions.
  • Study network configurations to identify grid bottlenecks, fault risks, and root causes of congestion.
  • Estimate congestion costs and analyze impacts of renewable integration, load growth, and dispatch patterns.

Scenario Modeling & Forecasting

  • Assess how congestion changes under evolving scenarios: generation mix shifts, transmission upgrades, retirements, and electrification.
  • Interface power flow models with production cost or capacity expansion models to support broader market studies.

Collaboration & Communication

  • Serve as an internal expert on transmission behavior and congestion mechanisms.
  • Develop algorithms and code for modeling automation.
  • Partner with internal commercial teams, external consultants, national labs, and universities on advanced grid research.
  • Present results through clear, compelling visualizations, summaries, and stakeholder presentations.

Candidate Profile

🎓 What You Bring

Minimum Qualifications

  • Bachelor’s degree in Electrical Engineering, Power Systems, or related field.
  • Experience modeling transmission networks with tools like Power World or PSS®E.
  • 3+ years working with nodal electricity markets, LMPs, and congestion pricing.
  • Strong understanding of U.S. ISOs/RTOs (ERCOT, PJM, CAISO, etc.) and grid operations.
  • Knowledge of transmission system physics (voltage, thermal limits, stability).
  • Ability to analyze large technical datasets and communicate complex results clearly.

Preferred Qualifications

  • Graduate degree (M.S./Ph.D.) in Power Systems or similar discipline.
  • Experience linking power flow to production cost or capacity expansion modeling.
  • Programming experience (Python preferred) for model automation and analytics.
  • Familiarity with contingency datasets, congestion forecasting, and market bidding strategies.
  • Understanding of how congestion and curtailment affect utility‑scale renewable assets.
  • French language skills are a plus.

Additional Information Total Energies values diversity, promotes individual growth and offers equal opportunity careers.

Apply

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Working at Total Energies

At Total Energies we are committed to balancing flexibility while fostering strong relationships among our team members. Our office-based employees work together from dynamic workspaces 3 days per week to build teamwork through collaboration while also having the flexibility to work from home 2 days per week. Total Energies Renewables USA currently has offices in San Francisco, Boston, Austin, Houston, and NYC.

What We Provide

Total Energies offers a robust comprehensive benefits package available to employees on the first day of hire. These benefits include but are not limited to generous PTO, medical, dental & vision care, HSA with company contributions, health FSA, commuter benefits or paid parking, 401(k) plan with employer match, life & accident insurances, generous parental leave, education assistance, fitness subsidy and more.

International Consideration

Total Energies regrets that it is unable to sponsor employment Visas or consider individuals on time-limited visa status for this position.

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关于TotalEnergies

TotalEnergies

TotalEnergies SE is a French multinational integrated energy and petroleum company founded in 1924 and is one of the seven supermajor oil companies.

10,001+

员工数

La Défense

总部位置

$134B

企业估值

评价

3.4

10条评价

工作生活平衡

3.0

薪酬

3.2

企业文化

3.8

职业发展

3.5

管理层

2.5

65%

推荐给朋友

优点

Good work environment and colleagues

Learning opportunities and industry experience

Internal mobility and career development

缺点

Management issues and micromanagement

Low wages and compensation

Too many meetings and excessive tracking

薪资范围

165个数据点

Mid/L4

Senior/L5

Mid/L4 · STP Power Product Owner

1份报告

$195,000

年薪总额

基本工资

$150,000

股票

-

奖金

-

$195,000

$195,000

面试经验

39次面试

难度

3.4

/ 5

时长

14-28周

录用率

37%

体验

正面 69%

中性 19%

负面 12%

面试流程

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

常见问题

Technical skills

Past experience

Team collaboration

Problem solving