Biometric Passport R&D Scientist — Vision & ML

ConFlip

Bergen

Hybrid

NOK 900,000 - 1,200,000

Full time

14 days+
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Benefits offered by this job

Relocation assistance for internationa
Flexible working hours
Remote work option
Health insurance
Professional growth
Inclusive workplace

Job summary

ConFlip in Bergen is seeking a Computer Research Scientist to help build cutting-edge biometric passport technology. You will design algorithms for biometric data processing and develop software modules for system integration.

The role requires strong background in computer vision, machine learning and image processing, with proficiency in Python or C++, and knowledge of biometric authentication techniques.

Qualifications

  • Master's or PhD in CS or related field.
  • 3+ years of CV/ML or image processing research or development.
  • Proficiency in Python or C++.
  • Fluent English communication.
  • Knowledge of biometric authentication techniques.
  • Experience with biometric data acquisition devices.

Responsibilities

  • Conduct research on computer vision, ML, and image processing for biometric data.
  • Design and implement algorithms for data analysis and feature extraction.
  • Develop software modules for biometric systems integration.
  • Test and optimize system performance using metrics.
  • Collaborate with cross-functional teams on passport solution development.
  • Stay up-to-date with CV, ML, and image processing advancements.

Skills

Computer vision
Machine learning
Image processing
Python
C++
Biometric authentication
English fluency

Education

Master's or PhD in Computer Science

Tools

TensorFlow
OpenCV

Job description

ConFlip in Bergen is seeking a Computer Research Scientist to help build cutting-edge biometric passport technology. You will design algorithms for biometric data processing and develop software modules for system integration.

The role requires strong background in computer vision, machine learning and image processing, with proficiency in Python or C++, and knowledge of biometric authentication techniques.

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