下面是小编为大家整理的2022年毕业生自我介绍英语,供大家参考。
毕业生自我介绍一：
Good morning, my name is xxx, it is really a great honor to have this opportunity for a interview, I would like to answer whatever you may raise, and i hope i can make a good performance today, eventually enroll in this prestigious university in september.
Now I will introduce myself briefly,I am 21 years old,born in xxx province ,northeast of china,and I am curruently a senior student at xxx.my major is packaging engineering.and i will receive my bachelor degree after my graduation in june.in the past 4 years,I spend most of my time on study,i have passed cet4/6 with a ease. and I have acquired basic knowledge of packaging and publishing both in theory and in practice.
Besides, I have attendseveral packaging exhibition hold in Beijing, this is our advantage study here, I have taken a tour to some big factory and company. through these I have a deeply understanding of domestic packaging industry. compared to developed countries such as us, unfortunately, although we have made extraordinary progress since 2014,our packaging industry are still underdeveloped, mess, unstable, the situation of employees in this field are awkard. But i have full confidence in a bright future if only our economy can keep the growth pace still. i guess you maybe interested in the reason itch to law, and what is my plan during graduate study life, i would like to tell you that pursue law is one of my lifelong goal,I like my major packaging and i wont give up,if I can pursue my master degree here i will combine law with my former education.
I will work hard in thesefields ,patent ,trademark, copyright, on the base of my years study in department of pp, my character? I cannot describe it well, but I know I am optimistic and confident. sometimes i prefer to stay alone, reading, listening to music, but I am not lonely, i like to chat with my classmates, almost talk everything ,my favorite pastime is valleyball,playing cards or surf online. through college life,I learn how to balance between study and entertainment. by the way, I was a actor of our amazing drama club. I had a few glorious memory on stage. that is my pride.
毕业生自我介绍二：
general introduction
i am a third year master major in automation at shanghai jiao tong university, p. r. china. with tremendous interest in industrial engineering, i am writing to apply for acceptance into your ph.d. graduate program.
education background
in 1995, i entered the nanjing university of science technology (nust) -- widely considered one of the chinas best engineering schools. during the following undergraduate study, my academic records kept distinguished among the whole department. i was granted first class prize every semester,in 1999, i got the privilege to enter the graduate program waived of the admission test.
at the period of my graduate study, my overall gpa(3.77/4.0) ranked top 5% in the department. in the second semester, i became teacher assistant that is given to talented and matured students only. this year, i won the acer scholarship as the one and only candidate in my department, which is the ultimate accolade fordistinguished students endowed by my university. presently, i am preparing my graduation thesis and trying for the honor of excellent graduation thesis.
research experience and academic activity
when a sophomore, i joined the association of ai enthusiast and began to narrow down my interest for my future research. with the tool of opengl and matlab, i designed a simulation program for transportation scheduling system. it is now widely used by different research groups in nust. i assumed and fulfilled a sewage analysis dispose project for nanjing sewage treatment plant. this was my first practice to convert a laboratory idea to a commercial product.
in retrospect, i find myself standing on a solid basis in both theory and experience, which has prepared me for the ph.d. program. my future research interests include: network scheduling problem, heuristic algorithm research (especially in ga and neural network), supply chain network research, hybrid system performance analysis with petri nets and data mining.
