Research Associate, Cryptography & Biometrics ML

UNSW Employees, Location, Alumni

Canberra

On-site

AUD 107,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Additional three days leave during Dec
Career development opportunities
Discount on UNSW courses
17% superannuation contributions, etc.
Free gym access
Flexible work arrangements

Job summary

UNSW Canberra invites applications for a Research Associate in the School of Systems and Computing. The role will contribute to multidisciplinary research in cryptography, machine learning and biometrics, with publication in international journals and participation in conferences.

Candidates will have a PhD in Computer Science or Mathematics, a strong record of relevant publications, and expertise in post-quantum cryptography and applied cryptography; experience applying deep learning to

Qualifications

  • PhD in Computer Science or Mathematics or a related field, with completion expected soon acceptable.
  • Strong publication record in reputable journals/conferences in cryptography or ML.
  • Experience applying deep learning to biometrics is desirable.

Responsibilities

  • Contribute to multidisciplinary research within cryptography, ML, and biometrics.
  • Develop and advance research results for publication in international journals.
  • Present and participate in national/international conferences.

Skills

Post-quantum cryptography
Applied cryptography
Deep learning for biometrics
Independent research

Education

PhD in Computer Science or Mathematics

Job description

UNSW Canberra invites applications for a Research Associate in the School of Systems and Computing. The role will contribute to multidisciplinary research in cryptography, machine learning and biometrics, with publication in international journals and participation in conferences.

Candidates will have a PhD in Computer Science or Mathematics, a strong record of relevant publications, and expertise in post-quantum cryptography and applied cryptography; experience applying deep learning to

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