Computational Mechanics and Modeling of Composites, fracture, large deformation, machine learning, heat transfer in polymers
Two R&D positions are available in the Computational group at the Nordisch LLC, a technological startup in the field of Material Modeling in Wisconsin. We are searching for two candidates, a postdoc and a 6 month PhD intern to work on the following project on damage modeling, rubbery polymers, and experimental validation. All work is carried out in close cooperation with the industrial partner ANSYS, and ABAQUS.
This project focuses on the thermal aging of rubber. An Arrhenius law is often applied to the test data to predict behavior at lower temperatures. However, this implies that the degradation mechanism at the highest temperature is the same as at the lower temperatures. A new thermo-chemical model should be developed to study the degradation of material properties over the entire temperature range. This model is combined with a recently published thermos-oxidative damage model to study the influence of aging on the failure of rubber.
Following tasks are needed
- Analysis of experimental data on thermal aging taking into account the influence of temperature, media, and sample thickness.
- Implementation of a numerical model in UMAT to predict the influence of aging on rubber behaviour
- Couple the new model to a thermal dissipative model
- Parameter calibration and validation of the numerical model with experimental data
Offer
Remote working possibility with a competitive salary. Funds to attend conferences and summer schools are available. Each applicant will be employed by the company, but she/he will also spend a significant amount of time in the university.
Candidate profile
Aspiring researchers interested in those topic with strong computational background are encouraged to apply. Only those who hold a MSc, or a PhD degree or will hold one in the near future will be considered. We are specifically looking for those who hold a graduate degree in Mechanical Engineering. A background in and affinity with some of the following fields is required:
- Material/constitutive modeling and structural mechanics,
- Finite element analysis- UMAT development
- Scientific computing (numerical integration, optimization, etc.)
- Some form of programming (MATLAB, Python, C++, FORTRAN, etc.),
Additional experience with pattern recognition and machine learning as well as numerical optimization is highly desirable. The candidate should have completed their Ph.D. prior to the start date of the position. Candidates from underrepresented minority groups and women are strongly encouraged to apply for this position.
Application
The initial appointment will be for one year with the possibility of extension. The start date is flexible, with a preference for candidates capable of starting early in 2021 or as soon as possible. Review of applications will begin immediately and will continue until the position is filled.
You can send your application to contact [at] nordisch.us.
Nordisch LLC is an Affirmative Action/ Equal Opportunity Employer and values equality of opportunity, human dignity and diversity, EOE, including disability/vets.