PhD Candidate: Building Efficient Search Engines

Arbeidsplassen

Trondheim

On-site

NOK 522,000 - 638,000

Full time

8 days ago
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

Free Norwegian language training

Job summary

NTNU invites applications for a PhD Candidate in Databases and Search at the Department of Computer Science in Trondheim. The role focuses on developing efficient search engines, with required strong programming skills (Java, C++, or C) and an outstanding academic record.

Salary starts at NOK 580 000 per year, with a structured doctoral programme, and an international, inclusive research environment. The project is funded by the department and NTNU.

Qualifications

  • Master's degree with a major independent project (min 30 ECTS).
  • Strong programming background for research in databases and IR.
  • Excellent written and oral English required.
  • Norwegian/Scandinavian presentation skills encouraged during the programme.

Responsibilities

  • Publish academic work in top-tier conferences and journals.
  • Participate in Databases and Search group activities.
  • Assist supervisor with teaching duties related to Databases, Data Mining, and Information Retrieval.

Skills

Java
C++
Programming skills
English proficiency

Education

Master's degree in Computer Science or Mathematics

Job description

NTNU invites applications for a PhD Candidate in Databases and Search at the Department of Computer Science in Trondheim. The role focuses on developing efficient search engines, with required strong programming skills (Java, C++, or C) and an outstanding academic record.

Salary starts at NOK 580 000 per year, with a structured doctoral programme, and an international, inclusive research environment. The project is funded by the department and NTNU.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

PhD Candidate: Developing Efficient, Scalable Search Engines
PhD Candidate: Developing Efficient, Scalable Search Engines

Dhruv Gupta • Trondheim

On-site
NOK 550,000 - 650,000
Mentor programme as a new employee at
Career guidance during PhD
Open and inclusive working environment
+1
PhD Candidate: Designing Efficient, Scalable Search Engines
PhD Candidate: Designing Efficient, Scalable Search Engines

NTNU • Trondheim

Hybrid
NOK 522,000 - 638,000
Free Norwegian language training (A2)
PhD Candidate for Developing Efficient Search Engines
PhD Candidate for Developing Efficient Search Engines

Dhruv Gupta • Trondheim

On-site
NOK 550,000 - 650,000
Mentor programme as a new employee at
Career guidance during PhD
Open and inclusive working environment
+1
PhD Candidate for Developing Efficient Search Engines
PhD Candidate for Developing Efficient Search Engines

Arbeidsplassen • Trondheim

On-site
NOK 522,000 - 638,000
Free Norwegian language training
PhD Candidate for Developing Efficient Search Engines
PhD Candidate for Developing Efficient Search Engines

NTNU • Trondheim

Hybrid
NOK 522,000 - 638,000
Free Norwegian language training (A2)
PhD Candidate in Efficient Edge Intelligence Models
PhD Candidate in Efficient Edge Intelligence Models

Arbeidsplassen • Trondheim

On-site
NOK 522,000 - 638,000
PhD Candidate in Efficient Edge Intelligence Models
PhD Candidate in Efficient Edge Intelligence Models

Di Liu • Trondheim

On-site
NOK 522,000 - 638,000
Mentor programme as a new employee
Membership in SPK pension fund
Free Norwegian language training
PhD Candidate in Efficient Edge Intelligence Models
PhD Candidate in Efficient Edge Intelligence Models

Ntnu • Trondheim

On-site
NOK 522,000 - 638,000
PhD Candidate: Efficient Edge Intelligence
PhD Candidate: Efficient Edge Intelligence

Ntnu • Trondheim

On-site
NOK 522,000 - 638,000
PhD candidate in Structure-preserving Generative Modeling
PhD candidate in Structure-preserving Generative Modeling

Stipendiat • Trondheim

On-site
NOK 522,000 - 638,000
Open and inclusive working environment
Career guidance and follow-up
Public Service Pension Fund (SPK)
+1