Senior Scientist

ITHR Group plc; Frankfurt; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A technology consulting firm is seeking an Applied Vision Research Engineer to conduct advanced analysis on human visual perception in immersive environments. Candidates should have a PhD in Vision Science or a related field and a strong publication record. Responsibilities include developing mathematical models and collaborating with experts to validate findings in real-world applications. This role offers a unique opportunity for individuals passionate about applying their theoretical knowledge to solve complex visual challenges.

Qualifikationen

• Strong publication record in reputable journals.
• Experience in designing perceptual threshold experiments.
• Ability to translate research into applied solutions.

Aufgaben

• Conduct perceptual threshold analyses.
• Develop mathematical models for shape distortion.
• Synthesize research findings into actionable recommendations.
• Collaborate with simulation experts for validation.

Kenntnisse

Visual Psychophysics

Spatial Vision & Modelling

Optical Geometry

Ausbildung

PhD in Vision Science or related field

Tools

Python

MATLAB

R

Unreal Engine

Unity

Jobbeschreibung

Overview

We are seeking a Technology Consultant in tackling high-complexity challenges at the intersection of immersive visualization, simulation, and human perception. Our client project involves optimizing visual experiences for large-scale, curved display environments, such as immersive domes and LED volumes. We are seeking a world-class scientific expert to lead the foundational research that will solve critical visual distortion problems.

Role Summary: As an Applied Vision Research Engineer to conduct pioneering analysis on human perceptual limits within complex immersive environments. Your work will form the analytical backbone of our project, providing the theoretical models and quantitative thresholds needed to guide technical development. You will answer fundamental questions about how humans perceive detail and shape distortion when viewing content on curved surfaces from various positions. This is a deep research role suited for a individual with a strong academic background in vision science who thrives on applying theoretical knowledge to solve real-world, applied problems in display technology.

Responsibilities

• Perceptual Threshold Analysis: Conduct rigorous analyses to define the limits of human visual perception (e.g., visual acuity, spatial resolution) for observers at different distances (e.g., 5m to 130m) from a large curved display surface.
• Geometric Distortion Modelling: Develop and apply mathematical models to quantify and predict the perception of shape distortion (e.g., circles appearing as ellipses, straight lines appearing curved) for viewers stationed at various heights inside a dome structure.
• Multi-Perspective Analysis: Investigate how visual content, projected from single or multiple rendering perspectives, is perceived from multiple eye-level viewpoints (e.g., lower, mid-level, and higher up a central tower).
• Data-Driven Recommendation: Synthesize research findings into clear, actionable recommendations for the Client’s core consultant team. Specifically, determine the optimal number of rendering perspectives required to minimize perceptible distortion for all viewers within the environment.
• Collaboration: Work closely with Unreal Engine simulation experts to validate theoretical models through empirical testing and provide scientific guidance for simulation parameters.

Qualifications

• A PhD (or completing a Postdoctoral fellowship) in Vision Science, Experimental Psychology (Psychophysics), Optical Engineering, Computational Optics, or a directly related field.
• A strong publication record in reputable, peer-reviewed journals such as Journal of Vision, Vision Research, Applied Optics, JOSA A, or similar.
• Demonstrable experience in:
  • Visual Psychophysics: Designing experiments and models to measure perceptual thresholds.
  • Spatial Vision & Modelling: Understanding and modelling spatial resolution, contrast sensitivity, and geometric distortions.
  • Optical Geometry: Applying principles of geometric optics to real-world problems.
• Proven ability to translate abstract research into applied solutions, preferably with experience in VR / AR, advanced display technologies, cinematography, or simulation.

Preferred Skills (Nice-to-Have)

• Familiarity with real-time rendering engines (Unreal Engine, Unity) and their core concepts (cameras, perspectives, frustums).
• Experience with scientific computing and data analysis tools (e.g., Python, MATLAB, R).
• Knowledge of color science and photometry.