What is the work of a mechanical engineer?
A mechanical engineer finds employment opportunities in a wide range of industries, everything from plastic molding to aerospace design and construction. Currently most industries in the mechanical domain use, to varying degrees of assimilation, various software packages, and tools. A competent mechanical engineer in the 21’st century has to be well versed in these tools. These can be anything from MATLAB, Cantera, GT-Power, SolidWorks, NX-CAD, etc.
When you draft your resume for a mechanical engineering job, you should mention within it
These will be the imperceptible things that will help get you employed against your competition.
After you get employed you might wonder, what is the average salary that you might be able to draw as a mechanical engineer?
This is dependent on the number of projects that you have competed under your belt and the software that you are proficient in, the average annual salary of a mechanical engineer is around 3.5 lakhs and is susceptible to change according to prevailing market conditions.
Of the 15 lakh engineering graduates who enter the workforce every year in India, only 3% of the - 2.5 Lakh students, work in the core domains or the domains in which they graduated. The sole reason for this skewed metric is a lack of industry-relevant skills.
Industry-relevant skills that our students train in during their Master’s Program in Mechanical Engineering at Skill-Lync.
Introduction to HEV using MATLAB & Simulink
A comprehensive course on Computational Fluid Dynamics using Matlab/Octave. This course is highly suited for beginners
A comprehensive course on Virtual Product Development using A comprehensive multi-course proram on Machine Learning and AI. You will be learning the practical aspects of Python. This course is highly suited for beginners. This course is highly suited for beginners
A comprehensive course on programming for Mechanical Engineers using Matlab. This course is highly suited for beginners
A comprehensive course on Automation in Structural Analysis using Matlab and Mastan. This course is highly suited for beginners
A comprehensive course on fundamentals of Vehicle Dynamics using Matlab. This course is highly suited for beginners
A comprehensive course on Power converter design for EV using Matlab and Simulink. This course is highly suited for beginners
A comprehensive course on Autonomous Vehicles using AV system design and key algorithms and techniques that are commonly used. This course is highly suited for beginners
This 8 month program trains the student on becoming proficient in Computer Vision for Autonomous Vehicles
In this project you will learn , how to extract data from the XSTEAM file(steam tables) and to make a Matlab Script to find the pressure, temperature, enthalpy and entropy at various state points. By this you can plot the T-S and h-S diagram of Ideal Rankine Cycle.
In this project, you are being assigned a task to select a suitable rollbar for a light sports vehicle and come up with an understeer budget. The rollbar diameter selection and the understeer budget should comply with vehicle level targets like roll gradient and understeer gradient.
In this project you will be given with the real-time experimental PSD data of the road, you will write a Matlab/ Octave code to plot the PSD profile of the road. The obtained PSD plot of the given data will be superimposed on the ISO chart to find the road quality. By doing this, you will classify the road according to International Standard Organisation(ISO) .
In this project, you will simulate one of the most important problems in aerospace applications- the convergent-divergent nozzle. You will solve the quasi 1D Euler's equations in Matlab to simulate and study the conditions for an isentropic flow inside a subsonic-supersonic nozzle. This project will provide insights into how a super-sonic aircraft is able to attain such speeds with the help of a simple convergent-divergent nozzle setup.
In this project, you will be doing calculations to select the spring and anti-roll bar based on a 4WD sedan with a Mcpherson strut in the front and Multilink in the rear.
In this project you will learn the optimization techniques using the genetic algorithm to get the global maxima of the stalagmite function and as an outcome, will come to know about the process of optimizing the particular function
In this project you will solve the steady and unsteady 2D heat conduction equations. You will implement explicit and implicit approaches for the unsteady case and learn the differences between them. You will also learn how to implement iterative solvers like Jacobi, Gauss-Seidel and SOR for solving implicit equations.