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Senior Biometric Researcher

3 weeks ago

Singapore beBeeBiometric Full time $100,000 - $130,000

We are seeking a talented Research Fellow to lead our research and development efforts in secure and privacy-preserving multimodal biometric authentication systems for mobile devices.

About the Role
  • As part of our team, you will have the opportunity to design and conduct cutting-edge research projects that advance real-world applications in mobile security and user identity verification.
Key Responsibilities:
  1. Lead Federated Learning Projects: Lead research on federated learning methodologies for multimodal biometric authentication on mobile devices, emphasizing privacy-preserving techniques and real-world deployment.
  2. Evaluate Federated Models: Develop and evaluate federated models operating under positive-label-only constraints on local devices, focusing on scenarios with authentic user templates and robust unimodal/multimodal verification against spoofing or deepfakes.
  3. Collaborate with PI: Collaborate closely with the Principal Investigator (PI) to execute the project's research plan, including literature review, algorithm design, experiment design, model training, evaluation, and benchmarking.
  4. Mentor Student Researchers: Supervise undergraduate or graduate student assistants, guiding them in data collection, software development, and research experiments.
  5. Develop Biometric Systems: Contribute to the development of working prototypes and demonstrations for mobile biometric systems utilizing federated learning architectures.
  6. Prepare Research Documentation: Prepare research documentation, including technical reports, conference/journal papers, and research grant progress updates.
Requirements:
  1. Ph.D. Degree: Ph.D. degree in Computer Science, Electrical/Electronic Engineering, Information Systems, or a related field with a strong research focus in machine learning, biometrics, or mobile computing.
  2. Federated Learning Experience: Proven experience in federated learning, privacy-preserving machine learning, or distributed AI systems.
  3. Biometric Authentication: Familiarity with biometric authentication systems, especially involving multimodal signals such as face, voice, and fingerprint recognition.
  4. Programming Skills: Proficient in programming languages and frameworks commonly used in ML research, such as Python, PyTorch, TensorFlow, and mobile development environments.
  5. Publishing Experience: Demonstrated ability to conduct independent research, as evidenced by peer-reviewed publications in relevant top-tier conferences or journals.
  6. Analytical Skills: Strong analytical and problem-solving skills, with the ability to design, implement, and evaluate complex algorithms in practical settings.
  7. Mentoring Experience: Experience mentoring students and working collaboratively in multi-disciplinary research teams.
  8. Communication Skills: Excellent written and verbal communication skills, with the ability to produce technical documentation and contribute to academic writing.
Key Competencies:
  1. Research Independence: Ability to design and lead experiments, analyze results, and iterate on solutions with minimal supervision.
  2. Technical Proficiency: Strong skills in machine learning, federated learning, and biometric systems, with practical coding proficiency in Python and relevant ML frameworks.
  3. Problem Solving: Able to identify technical challenges and formulate innovative, scalable, and privacy-aware solutions in real-world mobile settings.
  4. Collaboration and Mentorship: Effective at working in multidisciplinary teams and mentoring student researchers to meet project goals.
  5. Communication Skills: Strong written and verbal communication skills for presenting research outcomes, writing academic papers, and liaising with collaborators.
  6. Project Management: Ability to manage multiple tasks efficiently, meet deadlines, and contribute to grant deliverables.
  7. User-Centered Thinking: Appreciation for usability and the practical deployment of biometric systems on mobile devices.
Tell Employers About Your Skills:
  • TensorFlow
  • Technical Documentation
  • Translational Research
  • Usability
  • Applied Research
  • Academic Writing
  • Research and Development
  • Mentorship
  • PyTorch
  • Mobile Devices
  • Algorithm Design
  • Authentication
  • Publications
  • Benchmarking
  • Android Studio