Power Systems Modeling & Grid Engineer

Job Description

Power Systems Modeling & Grid Engineer

Transmission Planning, Interconnection & Grid Data Systems

Location: London () Hybrid, or remote 

Engagement: Full-time

About Nyxium

Nyxium is a London-based, VC-backed deep tech company building an infrastructure intelligence platform for siting, permitting, and regulatory decision-making across energy, data centres, and other critical infrastructure. The company is backed by leading European investors and supported by a global network of operators, policymakers, and technical advisors. 

We integrate geospatial, environmental, regulatory, and infrastructure datasets into a unified decision system. Our goal is to move beyond surface-level GIS screening and deliver engineering-grounded, decision-ready intelligence on:

• Grid connectivity
• Capacity availability
• Interconnection timelines
• Development risk

Why this role exists

This role is critical in translating real-world power system behaviour into scalable, structured models and datasets that can power Nyxium.

What you will do

1. Technical Feasibility & Interconnection Modelling (Core)

• Evaluate shortlisted sites for:
• Technical connectability
• Transmission suitability
• Likely upgrade exposure and constraint triggers
• Analyse:
• Transformer capacity
• Substation capability
• Transmission network limitations
• Provide structured estimates of:
• Available capacity vs required load
• Interconnection feasibility likelihood
• Risk of major network upgrades
• Translate outputs into:
• Engineering-grounded feasibility tiers (High / Medium / Low probability of connection)

2. Capacity, Queue & Access Probability Modelling

• Develop methodologies to estimate:
• Probability of interconnection approval
• Waiting time ranges based on queue backlog and saturation
• Impact of clustered developments and queue congestion
• Convert real-world queue dynamics into:
• Structured probability models
• Scalable logic usable within the platform
• Move the system from:
• “Is there a substation nearby?”
• → to
• “What is the probability and timeline of grid access?”

3. Grid Dataset Structuring & Intelligence Layer (Expanded)

You will take ownership of how raw grid data becomes usable intelligence.

• Identify, source, and integrate datasets including:
• Substations, transformers, transmission lines
• Interconnection queue data 
• Renewable capacity and penetration maps
• Structure datasets into usable layers such as:
• Capacity proxies
• Queue density metrics
• Congestion indicators
• Curtailment and grid strength signals
• Ensure:
• Data is standardised across markets
• Outputs reflect real system behaviour (not just theoretical models)

4. Integration of Renewable & Grid Behaviour Signals

• Interpret renewable penetration and density impacts on:
• Congestion
• Curtailment risk
• Grid stability and strength
• Ensure models account for:
• Real operational behaviour
• Not just static infrastructure presence

5. Collaboration with Geospatial & Engineering Teams

• Work closely with geospatial scientists to:
• Review and refine grid-risk proxy variables
• Define engineering-grounded thresholds for risk classification
• Identify where simplified GIS assumptions break down
• Guide engineers to ensure outputs are:
• Structured
• Map-compatible
• API-ready
• Decision-ready for clients

6. System Design & Product Integration

• Help define the grid intelligence architecture within Nyxium
• Ensure models are:
• Scalable and computationally efficient
• Compatible across US, UK, and European power markets
• Designed for product integration, not standalone analysis
• Contribute to building:
• A defensible, transparent grid feasibility framework
• Clear methodology documentation for client-facing outputs

Expected Outcomes 

• Structured grid feasibility framework
• Defined methodology for:
• capacity estimation
• waiting time estimation
• probability of access
• Initial grid data schema and key datasets integrated
• Clear logic connecting:
• raw grid data → model → platform output

Required Experience

• Master’s or PhD in one of the following fields:
• Electrical Engineering 
• Power Systems Engineering
• Energy Systems Engineering
• Sustainable Energy / Energy Systems
• Applied Physics (with power systems or grid focus) 
• 5+ years in:
• Transmission planning
• Interconnection studies
• Utility system operations
• Strong understanding of:
• Interconnection queues and approval processes
• Grid congestion and upgrade triggers
• Capacity allocation and constraints
• Deep understanding of N-1 contingency analysis, queue dynamics, and capacity allocation processes
• Experience with tools such as:
• Pandapower, PSS®E, PSLF, or similar 
• Experience working with real-world grid datasets

What we are specifically looking for

• Someone who can translate engineering knowledge into structured systems, not just analysis
• Comfortable working with incomplete data and building practical models
• Able to operate in a fast-moving, early-stage environment
• Product-minded: focuses on usable outputs, not theoretical perfection

What we are not looking for

• Purely academic or research-focused profiles
• Candidates who require fully clean datasets before starting
• Over-reliance on heavy simulation without scalable abstraction

Engagement Structure

• Start as fractional (3 days/week)
• High-impact ownership from day one
• Clear pathway to:
• full-time permanent role

Why join Nyxium

• Work on one of the hardest problems in energy and infrastructure
• Build a system that directly influences real-world development decisions
• Define how grid intelligence is operationalised at scale
• Above market compensation, 30-50% salary increases after seed/ series A round, with meaningful equity

How to apply:

Either apply with this job post, or send your resume to hr@nyxium.ai