Muon Tomography Engineer

Eco Plus Solutions AB

. Own the end-to-end pipeline converting raw particle tracks into accurate 3D density maps .

Posted 11/8/2026full-timeHamburg • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in tomographic reconstruction and numerical performance optimization, with a strong focus on developing robust software solutions for high-flux particle detection and data fusion. Proficient in managing complex data integration and ambiguity resolution in particle tracking.

Highest-signal resume keywords

Tomographic ReconstructionNumerical Performance OptimizationMulti-Modal Data FusionProduction Software EngineeringPost-Doctoral Research Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

POCA ImplementationASR AlgorithmsLikelihood OptimizationAdaptive GridsMulti-Resolution GridsParticle Hit Ambiguity ResolutionHigh-Flux Pile-Up ManagementStatistical Solutions DevelopmentError Weight ComputationComputer Vision Data Integration

Soft Skills

CollaborationCommunication

Tools & Technologies

Standalone Production SoftwareFixed Input/Output Formats

Certifications & Qualifications

Doctorate (PhD) in PhysicsComputer ScienceApplied Mathematics

Industry Keywords

Particle TrackingData FusionImaging SolutionsResearch CollaborationInternational Travel

Tech Stack

Tools & technologies

Flux

About the role

Key responsibilities & impact

Own the end-to-end pipeline converting raw particle tracks into accurate 3D density maps
Advance reconstruction methods from POCA and ASR to likelihood-optimization frameworks
Explore and deploy adaptive or multi-resolution reconstruction grids balancing resolution, memory, and processing speed
Compute per-track error weights using the muon beam's narrow energy bandwidth
Integrate optical scans, computer vision data, and digital object geometry as hard reconstruction constraints
Develop statistical and algorithmic solutions for track pile-up and hit ambiguity under high-flux detector conditions
Package and maintain standalone production software with reliable fixed input/output formats
Collaborate with internal cross-functional teams and external research institutions
Field-test imaging solutions with global research partners

Requirements

What you’ll need

A Doctorate (PhD / Dr.) degree in physics, computer science, applied mathematics, or a closely related technical field is strictly required
Minimum post-doctoral experience required
Deep expertise in tomographic reconstruction, including implementation of POCA, ASR, or equivalent scattering-tomography algorithms
Capability to pivot to likelihood optimization when point-based limits are reached
Proven experience with numerical performance optimization, including adaptive or multi-resolution grids
Demonstrated skill in tracking-detector physics, resolving particle hit ambiguities, and high-flux pile-up
Hands-on experience with multi-modal data fusion and individual-track uncertainty modeling
Production software engineering experience transitioning research code into maintained, robust software packages
Full professional proficiency in English (C1 level)
Availability to start by January 2027 or, at the latest, February 2027
Open to occasional international travel
Preference for a few years of dedicated post-doctoral research experience
German or Estonian proficiency is a strong bonus

Benefits

Comp & perks

A substantial employee equity package offering a meaningful stake in the company's financial and market success
Complete autonomy within a fast-moving, high-impact team
Direct engagement with multi-GeV beamlines and elite research networks spanning aerospace, energy, and deep tech
Comprehensive international relocation assistance
Full visa sponsorship support
Access to multi-GeV beamlines and collaborative research networks