I’m chose the Physics & Mathematic as my

I’m pleased to write this Motivation Letter to be considered for a PhD position at the Norwegian University of Science and Technology, the Department of Energy and Process Engineering. I strongly believe everyone should pursue his future opportunities, according to his own talents and try to achieve his aims by hard working and sense of optimism. My interest in pursuing a PhD degree is significantly influenced by the pleasure that I have received from the scientific adventure to understand the unknown phenomena in the engineering world. Moreover, I believe that having PhD helps me to achieve my favorite career opportunities, such as doing research in the R department of an industry or academia.”Somewhere, something incredible is waiting to be known”.

I heard this quote from Carl Sagan (the great American astronomer) when I was 10 years old and he was performing the Cosmos documentary. Watching this TV documentary show encouraged me to read more about physics, a couple of years before entering the high school. Reading scientific literatures made me more interested in physics.

Therefore, I chose the Physics & Mathematic as my major in high school. I studied my courses eagerly and was always among the top 10 students in my high school.In fall 2008, through nationwide university entrance exam, I was admitted to study Mechanical Engineering at Noshiravani Institute of Technology. I believe that mechanics is the utilization of theoretical science to solve practical problems. Passing the courses such as Fluid Mechanics, Thermodynamics, Turbomachinary and Internal Combustion Engine helped me to achieve a deep knowledge in fluid mechanics. My B.Sc final project was about the numerical simulation of gas turbine cycle in power-plant by EES (engineering equation solver). Successful accomplishment of this project by gaining A score, encouraged me to make more effort to learn several programming languages as powerful tools for numerical simulations.

Additionally, in the last semester of my B.Sc degree, I got an internship from a Heavy Duty Diesel Engine company (DESA). My duty as an engineer in the R division was to find a logical procedure to choose a proper Turbocharger for a specific heavy duty diesel engine. That period of internship helped me to get a lot of valuable teamwork skills.

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In fall 2012, after taking the entrance examination, I ranked 189th among almost 100,000 participants, and was admitted to University of Tehran (the oldest and the most prestigious university in Iran). In pursuing Master degree, according to my deep interest in Turbomachinary topics, I wanted to devote my effort on doing research on Gas turbine topics. Also, University of Tehran had well-equipped labs and its distinguished academic staff had been providing high quality of education and research for me. Therefore, I chose Aerospace Engineering.

I took courses such as advanced reacting flows, Gas Turbine and Computational Fluid Dynamics (CFD). For final project of Gas Turbine course, regarding my skills in Programming Languages (Matlab, Fortran, C++ and C#), I wrote a Windows based program with graphical user interface to simulate flow through an axial flow compressor. Also, it had the ability to plot the results of thermodynamic behaviors of flowing gas.

This software was introduced as an open-source code to IranEng (Iranian Engineers Club), to be used by its engineers for educational aim. That was a great pleasure for me which my scientific achievement was shared with other researchers.In advanced reacting flows course, I wrote a code to simulate the kinetic interaction of species in steady state. It was a challenging project because, I had to import considerable amount of JANAF data in my code. I used Statistical methods to extract proper correlations from JANAF data. I leaned valuable statistic methods which helped me later in my dissertation.In fall 2013, due to my personal interest in artificial intelligence topics, I had the opportunity to attend Machine Learning (ML) course. At the same time, I passed a course related to Machine Vision (MV)