PhD Candidate: Designing Efficient, Scalable Search Engines

NTNU; Trondheim; Hybrid; NOK 522,000 - 638,000; Full time

Benefits offered by this job

Free Norwegian language training (A2)

Job summary

NTNU, Department of Computer Science, seeks a PhD Candidate for developing efficient search engines. The doctorial position focuses on advanced retrieval models, query processing, and scalable architectures. It offers a pathway to a doctoral degree while contributing to cutting-edge AI and information retrieval research.

The successful candidate will join a dynamic team, publish in top conferences, and gain valuable teaching and research experience within a strong international environment.

Qualifications

• Must meet admission requirements for the IE faculty's Doctoral Programme.
• Master's degree in Computer Science and Mathematics with a major independent project (≥30 ECTS).
• Master students may apply; degree must be obtained before starting and no later than 01-Jan-2027.
• Strong academic background with an average grade equal to B or better on NTNU's scale.
• Strong background in CS with excellent programming skills; research-oriented Master thesis in databases, information retrieval, data mining, or algorithms.
• Excellent written and oral English skills.
• Norwegian/Scandinavian language ability or willingness to acquire during the program.

Responsibilities

• Publish in top-tier conferences and journals (e.g., SIGIR, SIGMOD, VLDB).
• Participate in the Databases and Search research group activities.
• Assist the primary supervisor with teaching assistant duties related to databases, data mining, and information retrieval.

Skills

Programming

English proficiency

Research potential

Education

Master's degree in CS & Mathematics

Independent master thesis project (30 ECTS)

Tools

Java

C++

C

Job description

NTNU, Department of Computer Science, seeks a PhD Candidate for developing efficient search engines. The doctorial position focuses on advanced retrieval models, query processing, and scalable architectures. It offers a pathway to a doctoral degree while contributing to cutting-edge AI and information retrieval research.

The successful candidate will join a dynamic team, publish in top conferences, and gain valuable teaching and research experience within a strong international environment.