PhD Candidate — Interface-Resolved CFD for Boiling & Condensation

Ntnu; Trondheim; Hybrid; NOK 522,000 - 638,000; Full time

Benefits offered by this job

Norwegian language training (A2)

Open and inclusive working environment

Job summary

NTNU in Trondheim invites applications for a PhD Candidate in Interface-resolved CFD for boiling and condensation on engineered surfaces. The PhD will develop CFD models and validate against experiments within the SurPhase network, joining a team of researchers across several European institutions.

The successful candidate will have a strong background in fluid mechanics and heat transfer, programming experience (Matlab, Python, C), and a Master’s degree in a relevant field.

Qualifications

• Master’s degree in mechanical engineering, aerospace engineering, applied mathematics/physics or equivalent.
• Strong programming experience with Matlab, Python, C or similar.
• Strong experience in CFD and numerical methods.
• Experience with model verification and experimental validation.
• Experience with interface-capturing or diffuse interface methods and phase-change modelling will be an advantage.
• Good oral and written presentation skills in English.

Responsibilities

• Develop and implement models for heat and mass transfer within diffuse and sharp interface methods.
• Contribute to academic publications, project reports and other dissemination activities.
• Participate in meetings with supervisors and colleagues.
• Engage in secondments as part of the project training activities.
• Participate in structured training programs and network events organized by the consortium.
• Collaborate with other doctoral candidates in the consortium.

Skills

CFD

Numerical methods

Matlab

Python

C

Education

Master’s degree in mechanical engineering or related field

Tools

UDF

CFD software

Job description

NTNU in Trondheim invites applications for a PhD Candidate in Interface-resolved CFD for boiling and condensation on engineered surfaces. The PhD will develop CFD models and validate against experiments within the SurPhase network, joining a team of researchers across several European institutions.

The successful candidate will have a strong background in fluid mechanics and heat transfer, programming experience (Matlab, Python, C), and a Master’s degree in a relevant field.