Collaboration
Professional Collaboration
Fields:
- Mechanical Engineering
- Electrical Engineering (Control Systems)
- Chemical Engineering (Process)
Work Environment Conditions and Facilities
Eligibility Requirements:
- Bachelor’s graduate, Master’s or PhD student/graduate (Sharif University undergraduate students are also accepted due to location).
- Highly motivated and energetic
- Strong learning attitude, analytical skills, creativity, and responsibility
- Proficient in research, literature review, and report writing
- Maximum age: 35
- Relevant work experience is an advantage.
Work Location:
- Sharif University of Technology or Simin-Dasht, Karaj
Work Schedule:
- Full-time or part-time
- Part-time: minimum 120 hours per month
- Long-term collaboration preferred
Benefits for Team Members:
- Dynamic and engaging work environment
- Combination of industrial and result-oriented research work
- Excellent learning opportunities
- Competitive salary and benefits
- Seasonal gifts and packages
- Lunch provided
- Dynamic and engaging work environment
PhD Thesis
Research Areas:
- Integration of experimental and numerical methods in solving turbomachinery challenges (renewable, compressible, and incompressible flows)
- Application of artificial intelligence in mechanical engineering
- Physics-informed neural networks (PINN) in computational fluid dynamics
- Development of control philosophy for thermal power plants
Conditions and Facilities
Admission Requirements:
- Proficiency in computational and experimental methods
- Proposal defense and passing the comprehensive exam before starting research
Supervision and Progress Evaluation:
- Regular monthly meetings with progress reports
Timeline and Milestones:
- 3 to 5 years (annual evaluation – journal publication required)
Publication and Intellectual Property:
- Minimum one journal paper publication
Failure and Withdrawal Policy:
- Thesis will be rejected in case of:
- Insufficient progress (after warning)
- Academic misconduct (data manipulation or plagiarism)
- Appeal possible through relevant committee review
Resources and Support:
- Access to software, laboratories, and HPC as needed
Final Submission and Defense:
- Report + short oral defense (internal examiners)
Master's Thesis
Research Areas:
- Application of neural networks in turbomachinery optimization
- Use of PINN in fluid dynamics problems
- Optimal design of ventricular assist pumps and related equipment
- Uncertainty-based design of wind and tidal turbines
- Development of thermal power generation system simulator
- Design of flow meters and control valves
Conditions and Facilities
Admission Requirements:
- Completed advanced courses in computational fluid dynamics
- Supervisor approval based on research proposal
Supervision and Progress Evaluation:
- Regular monthly meetings with progress reports
Timeline and Milestones:
- 1 to 2 years (monthly evaluation – conference/journal publication required)
Publication and Intellectual Property:
- Minimum one journal paper
Failure and Withdrawal Policy:
- Thesis will be rejected in case of:
- Insufficient progress (after warning)
- Academic misconduct (data manipulation or plagiarism)
- Appeal possible through relevant committee review
Resources and Support:
- Access to software, laboratories, and HPC as needed
Final Submission and Defense:
- Report + short oral defense (internal examiners)
Bachelor's Thesis
Research Areas:
- Application of PINN in solving fluid flow equations
- Wind turbine performance simulator
- Simulation of thermal power generation system equipment
- Simulation of fluid system equipment performance
Conditions and Facilities
Admission Requirements:
- Completed fundamental courses such as thermodynamics, fluid mechanics, and turbomachinery (as required)
- Minimum GPA: 16/20
Supervision and Progress Evaluation:
- Regular monthly meetings with progress reports
Timeline and Milestones:
- 3 to 6 months (limited extensions possible)
Failure and Withdrawal Policy:
- Thesis will be rejected in case of:
- Insufficient progress (after warning)
- Academic misconduct (data manipulation or plagiarism)
- Appeal possible through relevant committee review
Resources and Support:
- Access to software, laboratories, and HPC as needed
Final Submission and Defense:
- Report + short oral defense (internal examiners)
