Phd Scholarships In Process Systems Engineering And Ai/Ml For Process Safety Applications- Prosafe

About the positions

We are looking to recruit 3 Doctoral Candidates (DCs) as part of PROSAFE MSCA doctoral training network. The recruited DCs will have the opportunity to work as part of an international team of 12 doctoral candidates based at universities and companies throughout Europe. DCs will have multiple opportunities to participate in professional and personal development training and undertake research within multidisciplinary fields of AI/ML and PSE for safe and efficient process operations.

This position is fully funded by the Marie Skłodowska-Curie European Training Network „PROSAFE“, which aims to train a cohort of 12 doctoral students in the domain of application of machine learning/AI, and process systems engineering to advance foundations of process safety. 

If you are establishing your career as a young professional in process systems engineering and machine learning/AI and looking to expand your professional network in process industries studying the safe transition to renewable and sustainable process industries, here you have a unique opportunity.

Be part of PROSAFE doctoral training network and establish a great foundation for pursuing your dreams and ambitions. At NTNU Chemical Engineering, you will break new ground at the forefront of what is possible by deploying process systems engineering and emerging machine learning/AI paradigms to ensure safer and sustainable process operations.

Background information

Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding is provided for doctoral candidates from both inside and outside Europe to carry out individual project work in a European country other than their own. The training network “PROSAFE” is made up of 10 partners, coordinated by the Technical University of Denmark (DTU) in Denmark. The network will recruit a total of 12 doctoral candidates for project work lasting for 36 months.

PROSAFE proposes a novel doctoral training program in the multidisciplinary field combining machine learning, artificial intelligence, and process systems engineering with domain knowledge of process industry and process safety. PROSAFE will pioneer new foundations by integrating Quantitative Risk Assessment (QRA), Process Systems Engineering (PSE) with interpretable machine learning (ML), and artificial intelligence (AI) disciplines as targeted breakthroughs to achieve the objectives. To this end, PROSAFE will develop new synergistic tools and train skilled professionals to address this very important societal, economic, and environmental challenge of safe and sustainable process industries.

PROSAFE research objectives are:

PROSAFE’s major training objectives are:

Mobility

The applicant must not have resided or carried out their main activity (work, studies, etc.) in Norway for more than 12 months in the past 3 years and be willing to spend several months at selected partner institutions.

Announcements for the positions

PhD Candidate in Learning-based health-aware operation and maintenance planning for improved safety

PhD Candidate in Safety-aware predictive control methods with robust contingency plans

Ph.D. Candidate in Hybrid, regressive, and robust machine learning solutions.

Please note that each announcement has a specific deadline for the application.

We offer

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.

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: Please see links for the positions.

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 Chemical Engineering 

We take chemistry from laboratory scale to industrial production. This demands a wide range of knowledge, from molecular processes and nanotechnology to building and operation of large processing plants. We educate graduates for some of Norway's most important industries. The Department of Chemical Engineering is one of eight departments in the Faculty of Natural Sciences.  

Deadline 2nd February 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Høgskoleringen 1, 7491 Trondheim