Doctoral Student

Department Icon Data Science Analytics & Machine Learning
Posted: 8 months ago
0-1 years
Delhi, Delhi
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 8 months ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Broadband Information Transport and Secured Optical Network (BITS-ON) Group IIIT Delhi (New Delhi, India) https://bitson.iiitd.ac.in

Fellowship: Rs. 60,000 per month (As per IIIT-Delhi norms)

About the Position: Fully funded PhD position under an NSFMEITY Joint Collaborative Research Project. The selected student will be formally registered as a PhD scholar at IIIT Delhi and will collaborate closely with researchers at IIT Madras and University of California, Davis. Research focuses on AI-driven optical network design, intelligent IP-over-optical architectures, machine learning for quality of transmission estimation, and data-driven network optimization with experimental validation on advanced optical communication testbeds.

Essential Skills:

  • Strong background in Artificial Intelligence & Machine Learning
  • Proficiency in Python programming
  • Knowledge of IP Networks and Optical Communication Eligibility Criteria:
  • Masters degree in CSE / ECE or related discipline
  • Strong foundation in AI/ML and Networks
  • CGPA ? 7.5 (or equivalent)
  • Good interpersonal and communication skills

Note: Fulfilment of the above eligibility criteria does not guarantee selection. Shortlisting is contingent upon the evaluation of the experts.

Application Process

  • Fill Form and Upload: https://forms.gle/kNQ9aw6kvDoxZ4pf6
  • Upload: CV (PDF) and Statement of Purpose (1 page)
  • Advertisement Link: JRF/SRF/Ph.D. Scholar Positions | IIIT-Delhi

Skills

Artificial IntelligencePythonMachine LearningAi/mlAiMl

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About Company

IIIT-Delhi is a research-led Institution focused on Computer Science and allied areas. The Institute has grown to be well-respected in the field of Computer Science and Engineering and related disciplines.

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