About the job
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
This project addresses the pressing issue of water scarcity exacerbated by global warming, focusing on improving water distribution efficiency and sustainability. To combat this, the project utilizes 'smart water' technology, encompassing IoT, AI, and Big Data, to enhance water management. Challenges include developing robust modelling and control strategies, and real-time optimization techniques to manage seasonal water demand and ensure efficient operation. The project's core goal is to create a state-of-the-art framework combining modelling, control system, real-time optimization, and AI for water distribution systems (WDS), integrating a water harvesting unit to minimize energy consumption and water loss. This integration aims to optimize the water harvesting unit's operation using sensor data, enhancing the system's sustainability and reducing dependence on external water sources.
This PhD will be inserted in the context of an EU project. The EU partners, will explore the use of Metal-organic frameworks (MOFs) in atmospheric water harvesting, owing to their unique water adsorption properties and low-temperature regenerability. Emphasis is on green synthesis procedures for scalable production of MOFs like Al-fum, MOF-303, and CAU-10. Computer simulations aid in identifying optimal adsorption and diffusion parameters in MOFs. However, challenges persist in developing transferable potentials for MOFs, accurately calculating water adsorption, and targeting stable, synthesizable MOFs. Another significant aspect is Electric Swing Adsorption (ESA), a process for regenerating adsorbents through Joule heating, offering faster heating and higher process productivity. The PhD will also be involved in the optimization of the ESA unit, and its integration to the WDS.
Your immediate leader is Associate Professor Idelfonso B. R. Nogueira
Duties of the position
- Develop a rigorous CFD model that considers temperature, pressure, and composition to characterize the multiphase flow in the WDS.
- Develop a water demand mapping approach with uncertainty assessment to describe the relationship between different demand and availability of water in the network, along the months of the year;
- Develop machine learning models for daily water demand prediction.
- Develop a robust stabilizing optimization strategy that effectively addresses the challenges associated with the optimal operation of the ESA unit and its integration in the WDS;
- Develop a robust stabilizing model predictive control strategy for the water availability in the network;
- Take part in mentoring undergraduate and master's 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 CFD modeling, machine learning, optimization, and control.
- 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.
- Master's students can apply, but the master's degree must be obtained and documented by 01.04.2024.
- You must meet the requirements for admission to the faculty's doctoral program
- 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: Ansys, Matlab, Python;
- Experience in mentoring undergraduate students;
- Knowledge of the following AI approaches;
- Experience in simple development of simple control structures for flow control;
- It is beneficial if the applicant has some previous experience in research.
- Ability to work independently as well as in teams
- Good communication skills
- Strong writing capabilities
Emphasis will be placed on personal and interpersonal qualities.
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
- 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.
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 Associate Professor Idelfonso Nogueira, e-mail: firstname.lastname@example.org. If you have any questions about the recruitment process, please contact HR-Consultant Unni M. Myhre, e-mail: email@example.com
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: 15.12.2023
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 15th December 2023
Employer NTNU - Norwegian University of Science and Technology
Place of service Sem Sælands vei 4, 7491 Trondheim