Ph.D. Candidate in Reinforcement Learning for Project Scheduling Problems

NTNU Norwegian University of Science and Technology; Norway; On-site; NOK 522,000 - 638,000; Full time

Benefits offered by this job

Exciting mission in society

International professional environment

Inclusive working culture

Norwegian language training (A2)

Job summary

NTNU Norwegian University of Science and Technology in Gjøvik invites applications for a PhD Candidate position focused on Reinforcement Learning for Resource-Constrained Project Scheduling Problems (RCPSP). You will join the Civil Engineering and Geomatics group and collaborate with other PhD/post-docs, developing high-quality research in digitalization of circular construction.

The role leads to a doctoral degree with opportunities to publish and collaborate across projects; salary is NOK

Qualifications

• Master's degree in Computer Science/Engineering or equivalent with five-year Norwegian master course.
• Experience in reinforcement learning, GNN, and AI techniques.
• Fluent English, both written and spoken; ability to publish.

Responsibilities

• Develop learning-based algorithms for deterministic scheduling optimization.
• Extend frameworks to scheduling under uncertainty and dynamic environments.
• Improve scalability, generalization, robustness, and computational performance.
• Disseminate research results through publications in peer-reviewed journals.
• Complete doctoral education and pursue a PhD.
• Publish active research findings and contribute to the department's projects.

Skills

Reinforcement learning

GNN

AI

Programming

Education

Master's degree in Computer Science/Engineering

Job description

NTNU Norwegian University of Science and Technology

Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Manufacturing and Civil Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Nov 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

This is NTNU

NTNU is a broad-based university with atechnical-scientific profile and a focusin professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.

You will find more information about working at NTNU and the application process here.

About the position

Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.

The position will specificallyfocus on Reinforcement Learning for Resource-Constrained Project Scheduling Problem (RCPSP). The Ph.D.candidate will be a member of the group of Civil Engineering and Geomatics at NTNU and will tightly cooperate with other Ph.D./post-docs in projects (such as HEU-CIRCULess) and research groups at the department. The Ph.D. position will offer opportunities to develop high-quality research within the field of digitalization of circular construction.

Your immediate leader will be the Head of Department.

Duties of the position

• Develop learning-based algorithms or methods for deterministic scheduling optimization problems with the aim of achieving competitive performance against state-of-the-art approaches.
• Extend the developed framework to scheduling under uncertainty. Investigate how the proposed learning-based methods can be extended to uncertain and dynamic project environments.
• Improve the scalability of learning-based scheduling methods and evaluate generalization, robustness, and computational performance.
• Disseminate research outcomes. Publications in relevant high quality peer-reviewed journals are needed.
• Complete the doctoral education until obtaining a doctorate
• Carry out research of good quality within the framework described above
• Academic publications and popular science dissemination

Be prepared for changes to your work duties after employment.

Required selection criteria

• You must have a relevant master’s degree in Computer Scienceand technology, computer system engineering or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level.
• Experience in reinforcement learning, GNN, etc.
• You must have a strong 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 grade background, you may be considered if you can document that you are particularly suitable for a PhD education.
• Applicants must have fluent skills in both written and oral English. Non-English native speaker applicants who do not have masterin Europemust 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.

PLEASE NOTE: For detailed information about what the application must contain, see paragraph "About the application".

• Experience in programming skills, and artificial intelligence.

Personal characteristics

To complete a doctoral degree (PhD), it is important that you are able to:

• Work independently
• The applicant must be motivated to work closely withteams and external partners
• Work constructively under pressure or in the face of adversity
• Show curiosity and strong motivation for the subject

Emphasis will be placed on personal qualities.

We offer

• An exciting job with an important mission in society
• Developing tasks in a strong and international professional environment
• Open and inclusive working environment with committed colleagues
• Free Norwegian language training at a basic level (A2)

We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.

We want to increase the proportion of women in scientific positions. We have a number of measures to promote equality.

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 3 years for the doctoral work.

For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering https://www.ntnu.edu/studies/phiv within three months of your employment contract start date, and that you participate in an organized 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 organizational 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.

When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.

NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of a greater breadth of academic contributions in accordance with NTNU's social mission).

General information

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt 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 exemption is not granted.

If you have any questions about the position, please contact Yongping Liu (Associated professor), email [e-mail] .

If you have any questions about the recruitment process, please contact HR Advisor Kristine Rognlid Hagaseth, e-mail: [e-mail] .

Gjøvik, a charming town by the shores of Lake Mjøsa, is known for its beautiful nature and rich cultural offerings. The town boasts a vibrant community with excellent schools, modern healthcare services, and a variety of recreational activities. With its strategic location, just a short drive from Oslo, Gjøvik combines the best of urban life and natural experiences. Here, you'll find a dynamic business environment and exciting career opportunities in a setting that values work-life balance.

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 Manufacturing and Civil Engineering

Our profile of expertise can help to solve the world’s most important societal challenge: the development of sustainable solutions in industry and society. This profile includes research on modern industrial processes, use of new and recycled materials, new technological solutions and the application of new forms of organization and business models. The Department of Manufacturing and Civil Engineering is one of eight departments in the Faculty of Engineering.

Number of offers available 1 Company/Institute Department of Manufacturing and Civil Engineering Country Norway City Gjøvik Postal Code 2815 Street Teknologivegen 22 Geofield