PhD Candidate in computational modelling of stochastic fracture

Updated: 2 months ago
Job Type: FullTime
Deadline: 25 Mar 2024

26 Feb 2024
Job Information
Organisation/Company

NTNU Norwegian University of Science and Technology
Department

Department of Structural Engineering
Research Field

Engineering
Researcher Profile

First Stage Researcher (R1)
Country

Norway
Application Deadline

25 Mar 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

At the Department of Structural Engineering, NTNU, we have a vacancy for a PhD candidate in computational modelling of stochastic fracture. The position is linked to the research group SIMLab  (Structural Impact Laboratory).

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

Structural metals are typically produced using a series of forming processes and heat treatments. This leaves the material with a reduced level of microstructural heterogeneity and a rather deterministic fracture behaviour that is often accurately predicted by modern fracture models. Standard production processes, such as rolling and extrusion, are however limited to producing parts and components of simpler shapes and geometries, and end products usually consists of multiple components assembled using various joining techniques. Alternatively, it is possible to produce structural parts in a single process using casting or additive manufacturing, which greatly reduces the need for forming and joining operations. A good example of this is the increasing use of high-pressure die cast aluminium parts in the automotive industry that enables low-cost, high-volume production of complex-shaped structural components with high precision, dimensional stability, and excellent surface finish.

The behaviour of conventional structural alloys can be accurately modelled using deterministic models. However, cast and additively manufactured materials are examples of materials that exhibit a random and unpredictable fracture behaviour where deterministic modelling approaches no longer apply. This stochastic fracture behaviour of these materials poses several challenges for the design and structural integrity assessment, which underscores the need for developing accurate fracture models. The stochastic behaviour is caused by the highly heterogeneous microstructures of these materials, consisting of casting defects, porosity, impurities, and irregular grain structures. Such microstructural defects act as stress concentrators in the material, which leads to a significant variation in the fracture properties of the material, even among samples of the same material. Moreover, the probability of failure is not constant, but rather depends on factors such as the applied stress, sample size and distribution of the defects. Therefore, predicting the fracture behaviour of a metal under different loading conditions requires a probabilistic approach that considers the inherent variability and uncertainty in the material properties.

This PhD project aims to investigate stochastic fracture behaviour through micromechanical-based studies. The main objective is to develop predictive microstructure-based models for plastic flow and fracture in metal materials with statistically varying mechanical properties. The research activities will primarily involve numerical modelling and simulations, but physical experiments may also be conducted to supplement the modelling activities. At SIMLab, we have gained large experience with micromechanically based modelling over the past decade and several methods have been developed that can be used as a starting point for the PhD project.

Your immediate leader is Associate Professor Lars Edvard Blystad Dæhli.


Duties of the position
  • Contribute towards excellent research in solid mechanics at the Department of Structural Engineering.
  • Conduct literature reviews to identify relevant theories, methods, and approaches in microstructure-based modelling of stochastic fracture.
  • Develop computational models for predicting stochastic fracture behaviour.
  • Collect and analyse experimental data to validate and calibrate the developed models.
  • Investigate the influence of microstructural features on the stochastic fracture behaviour.
  • Disseminate relevant parts of the research to a wider audience.

Required selection criteria
  • You must have a professionally relevant background in solid mechanics or structural 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.
  • Master's students can apply, but the master's degree must be obtained and documented by 1 July.
  • You must meet the requirements for admission to the faculty's doctoral program .
  • You must be fluent in spoken and written English.
  • You must have demonstrated competence in solid mechanics and finite element analysis.

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
  • Experience using non-linear finite element software, e.g., Abaqus.
  • Experience in coding using Python and Fortran.
  • Experience in conducting experimental work and analysing experimental data.

Personal characteristics
  • Good cooperation skills.
  • Motivated and ambitious.
  • Creative and eager to learn.

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 Engineerin g 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.

Please note that the candidate holding the announced position is expected to work with critical infrastructure and areas affected by control of the export of strategic goods, services and technology. Candidates with the potential of not fulfilling requirement for security clearance, access clearance and authorization as described in the Act Relating to National Security, The Export Control Act and Act on the Implementation of International Sanctions (Sanctions Act) cannot be considered for the position (e.g., candidates from Russia, Iran, North Korea, China among other countries).

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 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.
  • 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.

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

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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 Lars Edvard Blystad Dæhli, email [email protected] . If you have any questions about the recruitment process, please contact Kristine Grønvold, 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: 25.03.2024

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 Structural Engineering

We teach mechanical engineering, engineering and ICT, and civil and environmental engineering. The Department conducts internationally leading research and participates in several large national research projects. The Department of Structural Engineering  is one of eight departments in the Faculty of Engineering .


Requirements
Research Field
Engineering
Education Level
Master Degree or equivalent

Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
NTNU - Norwegian University of Science and Technology
Country
Norway
Geofield


Where to apply
Website

https://www.jobbnorge.no/en/available-jobs/job/258366/phd-candidate-in-computat…

Contact
City

Trondheim
Website

http://www.ntnu.no
Street

Hogskoleringen 1
Postal Code

N-7491

STATUS: EXPIRED

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