PhD Candidate in Efficient Edge Intelligence Models

HiPEAC; Trondheim; On-site; NOK 560,000 - 600,000; Full time

Job summary

NTNU invites applications for a PhD position in Efficient Edge Intelligence Models at the Department of Computer Science. The role focuses on cutting‑edge research at the intersection of deep learning and computer systems with an international, collaborative environment.

Applicants must have a Master’s degree in Computer Science with a major project (≥30 ECTS), a B or higher NTNU grade, and English proficiency (IELTS 7 / TOEFL >100).

Qualifications

• Master's degree in Computer Science or equivalent with a major independent project (≥30 ECTS).
• Average grade at least B on NTNU scale; equivalent education accepted.
• English proficiency: IELTS 7 or TOEFL >100.
• Admission to the PhD programme within three months of employment start date.
• Follow NTNUs recruitment guidelines for general criteria.

Responsibilities

• Conduct research on efficient edge intelligence models.
• Collaborate in an international, interdisciplinary research environment.
• Publish findings in high-quality journals/conferences.
• Contribute to NTNU’s ongoing projects in computer science and AI.

Skills

Deep learning

Edge intelligence

Academic writing

English proficiency

Education

Master's degree in Computer Science or equivalent

Tools

NVIDIA Jetson

Job description

We invite applications for a PhD position in Efficient Edge Intelligence Models at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting‑edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems.

Required selection criteria:

You must meet the requirements for admission to the faculty’s Doctoral Programme, see Section 6-1 of the PhD regulations for more information.

You must have a relevant Master’s degree in Computer Science or equivalent. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis.

You must have a strong and relevant academic background from your previous studies and have an average grade from your Master’s degree study, or equivalent education, which is equal to B or better compared to NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer‑reviewed academic works.

Good oral and written presentation skills in English equivalent to IELTS score of 7 or equivalent with TOEFL scores of above 100.

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.

Preferred selection criteria

First-author publication in a recognised journal or conference on a relevant topic in machine learning, embedded systems, and edge intelligence

Hands-on experience on Nvidia Jetson boards or other edge platforms

Strong knowledge in deep learning, particularly large language models or multi‑modality models

Knowledge in deep learning optimisation, such pruning and quantisation

Strong academic writing skill

Salary and conditions

In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.

The employment period is four years, with 25% of the time devoted to career enhancing work assigned by the unit or the department.

For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Computer Science within three months of your employment contract start date, and that you participate in an organised doctoral programme throughout the period of employment.

As an employee at NTNU, it is important that you keep yourself up to date with academic and organisational changes and adapt to them.

For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.

The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed.

NTNU is Norway’s leading university for technology and natural sciences, supporting 23,000 students across 7 faculties. It fosters extensive research collaborations, particularly in computing and ICT fields.

Summary

Join NTNU as a PhD Candidate in Efficient Edge Intelligence Models, focusing on research at the intersection of deep learning and computer systems. Strong academic background and English skills required.

PhD Candidate in Efficient Edge Intelligence Models

Full-time

Norwegian University of Science and Technology (NTNU)

Join NTNU as a PhD Candidate in Efficient Edge Intelligence Models, focusing on research at the intersection of deep learning and computer systems. Strong academic background and English skills required.

We invite applications for a PhD position in Efficient Edge Intelligence Models at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting‑edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems.

Required selection criteria:

You must meet the requirements for admission to the faculty’s Doctoral Programme, see Section 6-1 of the PhD regulations for more information.

You must have a relevant Master’s degree in Computer Science or equivalent. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis.

You must have a strong and relevant academic background from your previous studies and have an average grade from your Master’s degree study, or equivalent education, which is equal to B or better compared to NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer‑reviewed academic works.

Good oral and written presentation skills in English equivalent to IELTS score of 7 or equivalent with TOEFL scores of above 100.

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.

Preferred selection criteria

First-author publication in a recognised journal or conference on a relevant topic in machine learning, embedded systems, and edge intelligence

Hands‑on experience on Nvidia Jetson boards or other edge platforms

Strong knowledge in deep learning, particularly large language models or multi‑modality models

Knowledge in deep learning optimisation, such pruning and quantisation

Strong academic writing skill

Salary and conditions

In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.

The employment period is four years, with 25% of the time devoted to career enhancing work assigned by the unit or the department.

For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Computer Science within three months of your employment contract start date, and that you participate in an organised doctoral programme throughout the period of employment.

As an employee at NTNU, it is important that you keep yourself up to date with academic and organisational changes and adapt to them.

For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.

The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed.

The HiPEAC project has received funding from the European Union’s Horizon Europe research and innovation funding programme under grant agreement number 101296676. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.