PhD Candidate in Hybrid, regressible, and robust machine learning solutions for abnormal event id

2nd February 2024
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The Department of Chemical Engineering has a vacancy for a
PhD Candidate in Hybrid, regressible, and robust machine learning solutions for abnormal event id
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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.

   

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About the position

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

The primary goal entails formulating a hybrid, regressible, and robust Machine Learning (ML) methodology designed to recognize irregular events by assimilating phenomenological understanding of the process, historical hazard and operability data. The ML models will be crafted following an uncertainty-aware approach to enhance their reliability. This will involve identifying epistemic and aleatory uncertainties during the modeling phase and subsequently incorporating these uncertainties into the model predictions.

The main purpose of these models is to identify deviations accurately and reliably from standard operations, thereby aiding decision-making processes. As a result, the output will not merely be a single model but a comprehensive probability distribution of potential models.  This model distribution will subsequently undergo a regression process to condense the ML model order into an understandable domain, resulting in a probability distribution of interpretable models.

The non-extensive statistical mechanics framework will be systematically examined to delineate the structure of failure models, utilizing generalized probability distributions. Furthermore, the assessment of fault propagation involves the representation of intricate systems employing a Systems of Systems (SoS) architecture, thereby enhancing the interpretability of the interdependencies among the reliability of subsystems. These models will also accommodate online learning based on continually generated data. This online learning will enhance the model's reliability by monitoring the models' predictions vis-à-vis measured data and updating the models when required.

The security of the online learning process and system integrity will be maintained through multiple digital replications of the model's probability distribution. This novel research on the hybrid, regressive, and robust ML model will be conducted at NTNU, with the platform being applied to extensive historical datasets from the LNG regasification process during the industrial secondment at KAIROS.

Your immediate leader is Associate Professor Idelfonso B. R. Nogueira.

Duties of the position

• Formulate a Hybrid ML Methodology.
• Assimilate phenomenological understanding of the process into the ML models.
• Incorporate uncertainties into the model predictions to enhance reliability.
• Utilize Non-Extensive Statistical Mechanics to delineate the structure of failure models.
• Represent intricate systems using a Systems of Systems architecture.
• Monitor and update models based on real-time data for enhanced reliability.
• Ensure System Security and Integrity.
• Participate in the planned mobility program of the doctoral network
  • 2-3 months at DTU (Danish University of Technology, Copenhagen).
  • 2-3 months in a partner company (Kairos, Denmark)
• Supervise master students.
• Take part in the mandatory Ph.D. research education program, conduct independent research, publish the result in recognized scientific journals, and present them at international conferences.

Required selection criteria

• You must have a professionally relevant background in Machine Learning Expertise. Assessment of measurement uncertainty, Reliability Theory,  Non-extensive statistical mechanics approach with application in 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  
• Experience with Modeling Interdependent complex SoS.
• Experience with developing projects in an industrial plant.
• Good written and oral English.

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

• Strong analytical skills and interest in quantitative approaches
• Competence in using programming: Matlab and Python
• Experience in mentoring undergraduate students
• It is beneficial if the applicant has previous experience in industry

Personal characteristics

• Ability to work independently as well as in teams
• Good communication skills
• Strong writing capabilities

Emphasis will be placed on personal and interpersonal qualities.

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 Chemical Engineering 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.

The position is subject to external funding.

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 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
• Cover letter
• 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.
• Name and contact information of three 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 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.

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 have any questions about the position, please contact Associate Professor Idelfonso Nogueira, e-mail: [email protected]. If you have any questions about the recruitment process, please contact HR-Consultant Unni M. Myhre, e-mail: [email protected]

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: 02.02.2024

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NTNU - knowledge for a better world

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.  

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Deadline

2nd February 2024

Employer

NTNU - Norwegian University of Science and Technology

Municipality

Trondheim

Scope

Fulltime (1 positions) Fulltime (%)

Duration

Temporary

Place of service
Høgskoleringen 1, 7491 Trondheim

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