PhD Candidate in developing a platform for computational battery design

Updated: about 1 month ago
Job Type: FullTime
Deadline: 23 Apr 2024

10 Apr 2024
Job Information
Organisation/Company

NTNU Norwegian University of Science and Technology
Department

Department of Energy and Process Engineering
Research Field

Computer science » Modelling tools
Engineering » Simulation engineering
Physics » Computational physics
Technology
Researcher Profile

First Stage Researcher (R1)
Country

Norway
Application Deadline

23 Apr 2024 - 23:59 (Europe/Oslo)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

37,5
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description
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.

The Sustainable Energy Systems research group in the The Department of Energy and Process Engineering at the Gløshaugen campus of NTNU is searching for excellent applicants for a PhD position. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The position duration is 3 years.

The primary focus of this position is the digitalization of Lithium-ion batteries through a comprehensive approach encompassing laboratory experimentation, sophisticated modelling techniques, and the application of data-driven methodologies.

Lithium-ion batteries have emerged as pivotal components in the global endeavour towards decarbonizing the energy sector, particularly evidenced by the substantial rise in demand for electrified transportation worldwide. Despite the significant strides made, there remain notable research cavities within Lithium-ion battery technologies. The convergence of experimental and digital research represents a critical step towards the advancement of these technologies. Therefore, the digitalization of Lithium-ion batteries promises to unlock new avenues for the application of modelling-based methodologies (including electrochemical, electrical equivalent, and physical models) and data-driven approaches to laboratory experimentation results. This innovative approach stands to expedite the development of Lithium-ion battery technologies while facilitating the creation of digital twins, offering deeper insights into the functional parameters of these batteries.

The overarching aim of this PhD project is to conceive and cultivate a digitalized Lithium-ion battery platform in close collaboration with industry. Central to this endeavour is the exploration of whether modelling and data-driven methodologies can be effectively harnessed to augment the development of battery technologies. By leveraging laboratory-acquired data, we seek to refine our experimental research focus, emphasizing computationally optimized theories and hypotheses. The creation of a digital twin for Lithium-ion batteries holds the promise of expediting the process of theory and hypothesis testing, thereby minimizing the duration spent on less fruitful avenues of inquiry. Moreover, the integration of data-driven methodologies into the digital twin framework affords opportunities for refining theories and hypotheses, with a particular emphasis on enhancing key parameters such as charging and discharging kinetics.

The candidate for this educational research position must possess the requisite skills to conduct comprehensive battery analysis in the laboratory setting, including but not limited to battery cycling, parameter measurement, and diagnostic interrogation. Additionally, proficiency in applying data driven techniques to ascertain unknown battery parameters (such as state of health, aging, and internal thermal properties) is paramount.

You will report to Associate Professor Jacob Lamb ([email protected] ) to whom further inquiries may be directed.

NB: The application should include a brief description (~300 words) of possible implementation and data-driven strategies that pertain to the topic mentioned above (i.e. Project Proposal/Research Plan).

Your immediate leader is Head of Department. 


Duties of the position
  • The candidate will plan and execute a comprehensive, independent research project under supervision. This will involve computational experiments, data analysis and integration.
  • The candidate will learn to master academic writing and be lead author of several journal publications.
  • The candidate is expected to present their work at international conferences and workshops.
  • The candidate is expected to collaborate internationally, which may involve extended periods outside of Norway.
  • The candidate is expected to contribute to the supervision of Masters students and other student projects.


Required selection criteria
  • You must have a professionally relevant background with a master’s degree (or similar level) involving computational science (machine learning and modelling), and electrochemical experimentation on batteries and pouch cell modification and handling.
  • Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.
  • Relevant experience with independent work is necessary.
  • Proficiency with data analysis and collection software is required (i.e., Python, Matlab, LabVIEW, etc.).
  • Good understanding and experience with experimental electrochemistry, specifically Lithium-ion batteries.
  • Experience with applying data driven approaches to Lithium-ion batteries.
  • Excellent written and oral English language and communication skills.
  • 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 [30/09/2024].
  • You must meet the requirements for admission to the faculty's doctoral program Doctoral Programme - PhD - Faculty of Engineering Science - NTNU .

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
  • This work involves a wide-range of technical competencies and skills. A strong academic background and a demonstrated capacity to learn new topics will be considered more relevant than industrial experience.
  • ​​​​​​Previous specialization and research within the area of lithium-ion batteries and data-driven sciences.
  • Demonstrated capacity for multi-tasking and collaborative research.
  • Applicants whose backgrounds may be subject to critical Export Control restrictions and regulations may be automatically disqualified.
  • Candidates who can speak a Scandinavian language are preferred, but not essential.


Personal characteristics
  • Enthusiastic and highly motivated
  • Able to work effectively on their own and in a team
  • Diligent, thorough, and hard-working
  • Able to work structured and goal oriented with a drive to get projects finished
  • Creative, good at finding solutions
  • The applicant is expected to contribute to the social and environment and activities of the Sustainable Energy Systems group above and beyond the position itself.

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 Engineering, Doctoral Programme - PhD - Faculty of Engineering Science - NTNU  within three months of employment, and that you participate in an organized PhD programme during the employment period.

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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 by the Norwegian Research Council. 

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 follow 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.
  • Project proposal or research plan (not more than 300 words)
  • Name and contact information of three references
  • 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.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality.  

EPT has established EPT Women in Science. The group is focused on supporting female PhD Candidates, Postdoctoral Fellows, Research Assistants and permanent academic employees within the Department. This support aims to help develop the careers of female PhD Candidates, Postdocs and Research Assistants, and is also made visible to our student body to encourage them to consider an academic path. As part of the EPT Women in Science initiative we are building an international network, inviting prominent female academics within and beyond the field of Engineering to speak at our events. 

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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.

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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 Jacob J. Lamb, email: [email protected] . If you have any questions about the recruitment process, please contact Ingrid Wiggen, 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: 23.04.24.

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 Energy and Process Engineering

We conduct research and teaching covering the entire energy chain, from resources to the end-user. We look at how energy is produced and used by humans and machines in a sustainable way with regard to health, climate change and the resource base. The Department of Energy and Process Engineering  is one of eight departments in the Faculty of Engineering.


Requirements
Research Field
Computer science » Modelling tools
Education Level
Master Degree or equivalent

Research Field
Engineering » Simulation engineering
Education Level
Master Degree or equivalent

Research Field
Physics » Computational physics
Education Level
Master Degree or equivalent

Research Field
Technology
Education Level
Master Degree or equivalent

Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
Department of Energy and Process Engineering
Country
Norway
City
Trondheim
Postal Code
7491
Street
Høgskoleringen 1
Geofield


Where to apply
Website

https://www.jobbnorge.no/en/available-jobs/job/261008/phd-candidate-in-developi…

Contact
City

Trondheim
Website

http://www.ntnu.no
Street

Høgskoleringen 1
Postal Code

7491

STATUS: EXPIRED

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