MasterThesis work in Additive Manufacturing
at GE Aviation
435 33 Mölnlycke, , Sweden -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 29 Jan, 2025 | Not Specified | 31 Oct, 2024 | N/A | Git,Artificial Neural Networks,Visual Studio,Swedish,Mathematics,C++,English | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
JOB DESCRIPTION SUMMARY
In this role, you will aim to establish a mapping between high-fidelity multi-physics models and simple thermal models by training machine learning algorithms on existing simulation data. A key area of focus will be developing transfer functions that link the high-fidelity models to the simpler thermal models.
QUALIFICATIONS
- Master student within applied physic, applied mathematics or equivalent.
- Experience with machine learning algorithms, such as artificial neural networks, as well as stochastic optimisation algorithms.
- Experience in programming (Python, C#, or C++) and development frameworks such as Visual Studio and Git
- Solid foundations in both physics and mathematics
- Fluency in English and Swedish, both written and spoken.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Proficient
1
435 33 Mölnlycke, Sweden
