PhD Candidate in Hybrid Machine Learning

This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in 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 job

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

This PhD opportunity offers a unique chance to be at the forefront of the transformative field of hybrid modelling, combining the power of machine learning with physics-based approaches. Unexpected high overpressures in the subsurface continue to challenge oil and gas exploration on the Norwegian Continental Shelf, posing risks such as mud loss, kicks, and well loss. This PhD will focus on developing innovative solutions by integrating 3D pressure stochastic simulations with advanced machine learning techniques to enhance pore pressure prediction workflows. By improving the accuracy and robustness of subsurface pressure predictions, this research aims to make drilling operations safer and more cost-effective. As part of the research project “Hybrid Modelling with Machine Learning for Overpressure and Mud Weight Prediction – Big Pressure”, you will contribute to cutting-edge advancements that merge physical science and artificial intelligence.

Your immediate leader is Professor Adil Rasheed.

Duties of the position

• Set up research plans with the help of the supervisor team and conduct them accordingly.
• Take lead in research idea generation and research paper writing
• Establish close cooperation with other researchers within the project
• Comply with the PhD training programme of the faculty

Required selection criteria

• You must have a professionally relevant background in mathematics and/or cybernetics, computer science, physics, geology.
• 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 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 at the Norwegian University of Science and Technology (NTNU).

Preferred selection criteria

• Machine Learning Experience: Previous experience and practical skills in machine learning.
• Mathematical Proficiency: Knowledge of partial differential equations and numerical methods.
• Programming Skills: Proficiency in Python programming; experience with C++ is a plus.
• Communication Skills: Strong written and oral English communication abilities.

Personal characteristics

• Ability to work independently as well as in cross-disciplinary teams.
• Ability to interact and collaborate with actors in academia, public sector, and industry.
• Ability to thrive and contribute to the work environment.
• Be self-motivated, focused, and goal-oriented, be committed and keep deadlines, be flexible, reliable, and solution-orientated, be innovation-driven, enthusiastic, and ambitious.
• Be scientifically curious and open to new research challenges, demonstrate persistence in addressing technical problems.
• Good communication and dissemination skills.

We offer

• 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.

Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering Cybernetics 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 on a daily basis.

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.
• Cover letter showing your motivation
• Name and contact information of minimum two 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 Norwegian Directorate for Higher Education and Skills, 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.

General information

Working at NTNU

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 have any questions about the position, please contact Prof Adil Rasheed, email: adil.rasheed@ntnu.no . If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: berit.dahl@ntnu.no .

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: 31.07.2024.