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

Norges teknisk-naturvitenskapelige universitet (NTNU); Gjøvik; Sur place; NOK 522 000 - 638 000; Plein temps

Avantages offerts par ce poste

Mentor programme as a new employee at/

Open, inclusive working environment

Norwegian language training (A2)

Résumé du poste

NTNU in Gjøvik is inviting applications for a PhD Candidate position focused on Reinforcement Learning for the Resource‑Constrained Project Scheduling Problem (RCPSP). You will join the Civil Engineering and Geomatics group and collaborate with other PhD/post‑docs on impactful research projects such as HEU‑CIRCULess, contributing to digitalization in circular construction.

The role requires a relevant master’s degree in CS/engineering with a five‑year Norwegian model, documentation of English

Qualifications

• Master’s degree in Computer Science/Engineering with a five‑year Norwegian course (120 credits master level).
• Fluent written and spoken English.
• Experience in reinforcement learning, GNN, etc.

Responsabilités

• Develop learning‑based algorithms for deterministic scheduling optimization.
• Extend frameworks to scheduling under uncertainty and dynamic environments.
• Improve scalability and evaluate generalization, robustness, and performance.
• Disseminate research outcomes via publications in peer‑reviewed journals.
• Complete doctoral education and conduct high‑quality research with the group.

Connaissances

Reinforcement Learning

Graph Neural Networks

English proficiency

Formation

Master’s degree in Computer Science/Engineering

Description du poste

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 specifically focus 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
• Participate in the research group Civil Engineering and Geomatics Research group Civil Engineering and Geomatics - NTNU

Required Selection Criteria

• You must have a relevant master’s degree in Computer Science and 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.
• Master students can apply, but the master’s degree must be obtained and documented before starting the position and no later than Nov.1 2026.
• 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.
• You must meet the requirements for admission to the faculty's Doctoral Programme https://www.ntnu.edu/studies/phiv
• Applicants must have fluent skills in both written and oral English. Non-English native speaker applicants who do not have master in Europe 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.

Preferred Selection Criteria

• Academic publication in relevant field.
• Experience in programming skills, and artificial intelligence.

Personal characteristics

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

We offer

• An exciting job with an important mission in society
• Developing tasks in a strong and international professional environment
• Career guidance and follow‑up during the PhD period
• Open and inclusive working environment with committed colleagues
• Working capital that can be used to implement the project
• Mentor programme as a new employee at NTNU
• Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
• Free Norwegian language training at a basic level (A2)

Diversity

Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender‑balanced is essential for us to achieve our goals.

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.

If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.

At NTNU 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 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 be in conflict with the criteria in the latter act, will not be able to be employed.

About The Application

The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in English.

Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.

The Application Must Include

• Transcripts and diplomas for Bachelor’s and Master’s degrees
• CV
• Copy of Master’s thesis. If you have recently 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.
• Project outline containing proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages)
• Short letter of motivation (400 words/1 page)
• Possibly publications etc. other relevant research work
• Possibly certificates
• Names and contact information of three relevant referees

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. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.

Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.

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 research and recognition 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 think this position looks interesting and in line with your qualifications, you welcome to apply.

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].

Application deadline: 14.10.2026

For practical information about working at NTNU, please visit this webpage.

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.

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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.