PhD Candidate in the Area of Edge Intelligence Design and Optimization
About the job
At the Department of Computer Science (IDI), we have a vacancy for Ph.D. candidate in edge intelligence. This PhD project will work at the intersection of edge computing and artificial intelligence (AI). Edge systems are gradually becoming a major platform to implement advanced AI applications. However, edge systems, like mobile phones, are usually subject to limited resources and battery supply. On the other hand, deep learning models are becoming more complicated with more parameters. Thus, there exists a computational gap between resource-limited edge systems and complicated deep learning models.
This PhD project will aim at proposing and implementing new techniques and frameworks to design and optimize deep learning models for edge systems. To efficiently execute deep learning applications at the edge, energy-efficient edge accelerators have been proposed in recent years such as EdgeTPU, Eyeriss, etc. Hence, designing and optimizing deep learning models for accelerators requires the knowledge of both accelerators and deep learning techniques.
The research outcome is expected to produce high-quality publications in top edge computing/AI venues.
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
The position’s working place is at NTNU campus in Trondheim.
Your immediate leader will be the group leader of Computing.
Duties of the position
- Undertaking the necessary courses (30 ECTS) as part of the PhD programme.
- Conducting high quality research and report progress on a regular basis and in agreement with the supervisors.
- Contributing to the dissemination of the research outcomes through public media, conferences, and publications.
Required selection criteria
- You must have a professionally relevant background in the areas of computer science, electrical engineering, or other relevant disciplines.
- Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.
- You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
- You must meet the requirements for admission to the PhD programme in Computer Science.
The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Phd candidate, research assistant and specialist candidate and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant
Preferred selection criteria
- Knowledge of edge computing/embedded systems and machine learning
- Experience with edge/embedded hardware such as Nvidia Jetson Series
- Experience with machine learning frameworks, e.g., Tensorflow and PyTorch
- Good English written and oral skills
- Have a problem-solving attitude.
- Be highly motivated to publish in top venues.
- Commitment and delivery with respect to deadlines
Emphasis will be placed on personal and interpersonal qualities.
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
As a PhD candidate (code 1017) you are normally paid from gross NOK 532 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The period of employment is 3 years (or 4 years with 25 % teaching duties).
Appointment to a PhD position requires that you are admitted to the PhD programme in [subject area] (Link to website, if applicable) within three months of employment, and that you participate in an organized PhD programme during the employment period.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.
It is a prerequisite you can be present at and accessible to the institution daily.
About the application
The application and supporting documentation to be used as the basis for the assessment must be in English.
Publications and other scientific work must be attached to the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.
The application must include:
- CV and certificates
- transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted.
- A copy of the master's thesis. If you recently have submitted your master's thesis, you can attach a draft of the thesis. Documentation of a completed master's degree must be presented before taking up the position.
- A short (1-2 page) cover letter describing your motivation to apply for this position, suitability for this position, relevant qualifications, and research interests.
- Name, current affiliation, and email address of three referees
- If you have publications or other relevant research work
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.
We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.
NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.
If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.
Application deadline: 09.10.2023.
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
Department of Computer Science
We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .
Deadline 9th October 2023
Employer NTNU - Norwegian University of Science and Technology
Place of service Adresse mangler, 7491 Trondheim NTNU Campus Trondheim, 7491 Trondheim