Power Systems Modeling & Grid Engineer
2 days ago
City of London
Power Systems Modeling & Grid Engineer Transmission Planning, Interconnection & Grid Data Systems Location: London (preferred) 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