PhD Candidate in Artificial Intelligence Based Software Defect Detection Using Multimodal Learning
About the job
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
Different artificial intelligence (AI) approaches have been proposed to predict software defects however most of these approaches considered datasets containing only one type of modality and majority of these datasets are textual while few of them are image datasets. In this project, a framework to detect software defects by analyzing multimodal datasets will be developed. Further an AI, in particular, Nature inspired, Machine Learning (ML), Deep Learning (DL) techniques, based model will be developed and trained using multimodal dataset. Finally, the proposed multimodal approach will be compared to models using single data modality in order to understand if any additional performance is produced by data fusion.
Your immediate leader is head of SDDE group.
Duties of the position
- Conduct research on software defect detection using ML/DL techniques by employing various software artifacts.
- Independently set up research plans and conduct them accordingly.
- Comply with the PhD training program of the Faculty.
- Publish in international conferences and journals in the relevant fields.
- Participate in professional communities within areas relevant to the position.
Required selection criteria
- You must have a professionally relevant background in software engineering, computer science or engineering.
- 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 faculty's doctoral program.
- The candidate must have background in software engineering and AI/ML/DL.
- Applicants must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
- TOEFL: 600 (paper-based test), 92 (Internet-based test),
- IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted),
- CAE/CPE: grade B or A.
In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases the candidate’s language skills will be assessed in a personal interview.
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
- Background in software engineering and Artificial Intelligence.
- Knowledge related with practical implementation of Machine Learning and/or Deep Learning techniques.
- Publication activities in the aforementioned disciplines will be considered an advantage.
- Industrial experience in aforementioned areas is desirable.
- High motivation for research and willingness to learn.
- Self-motivated, focused and goal-oriented.
- Ability to work independently, perseverance and commitment.
- Team player, collaborative and value the inputs of others.
- 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 4 years (with 25 % teaching duties).
Appointment to a PhD position requires that you are admitted to the PhD programme in computer science 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 follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out 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.
- Research statement (max. 4 pages) including:
- A short presentation of the motivation for a Ph.D. study.
- How the applicant sees his/her background suitable to the research associated with the position.
- The applicant’s view of research challenges within software defect detection using multimodal learning.
- A proposed research plan describing the way AI/ML/DL can be used in software defect detection.
- Names and contact information of at least 2 reference persons.
- Attachments of any other relevant documents (e.g., scientific publications, awards).
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.
Only complete applications will be considered for assessment.
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.
The city of Gjøvik has a population of 30 000 and is a town known for its rich music and cultural life. The beautiful nature surrounding the city is ideal for an active outdoor life! The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world.
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 have any questions about the position, please contact Deepti Mishra, telephone +47 46948657, email email@example.com. If you have any questions about the recruitment process, please contact HR at IDI: firstname.lastname@example.org.
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: 23.07.23
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 23rd July 2023
Employer NTNU - Norwegian University of Science and Technology
Place of service Campus Gjøvik