求职英语自我介绍

求职面试用英语自我介绍

求职面试用英语自我介绍

当我们在一个新环境中，时常要进行自我介绍，自我介绍是人与

人进行沟通的`出发点。现在你是否对自我介绍一筹莫展呢？以下是小

编帮大家整理的求职面试用英语自我介绍，仅供参考，希望能够帮助

到大家。

In2000,IenteredtheNanjingUniversityofScience%26

Technology(NUST)--widelyconsideredoneoftheChina’sbest

thefollowingundergraduatestudy,

myacademicrecordskeptdistinguishedamongthewhole

antedFirstClassPrizeeverymester,and

myoverallGPA(89.5/100)

1999,Igottheprivilegetoenterthegraduateprogramwaived

tedtheShanghaiJiaoTongUniversity

tocontinuemystudyforitsbestreputationonCombinatorial

OptimizationandNetworkSchedulingwheremyrearch

interestlies.

Attheperiodofmygraduatestudy,myoverallGPA(3.77/4.0)

rankedtop5%econdmester,I

becameteacherassistantthatisgiventotalentedandmatured

ar,IwontheAcerScholarshipastheone

andonlycandidateinmydepartment,whichistheultimate

accoladefordistinguishedstudentndowedbymyuniversity.

Prently,Iampreparingmygraduationthesisandtryingforthe

honorofExcellentGraduationThesis.

Rearchexperienceandacademicactivity.

Whenasophomore,IjoinedtheAssociationofAIEnthusiast

1997,Iparticipatedinsimulationtooldevelopmentforthe

’etoolofOpenGL

andMatlab,Idesignedasimulationprogramfortransportation

wwidelyudbydifferentrearch

1998,Iassumedandfulfilledawage

analysis%26dispoprojectforNanjingwagetreatmentplant.

Thiswasmyfirstpracticetoconvertalaboratoryideatoa

commercialproduct.

In1999,IjoinedthedistinguishedProfessorYu-GengXis

rearchgroupaimingatNetworkflowproblemsolvingand

angagedintheFuDan

wastopickuptheuful

informationamongdifferentkindsofgenematchingformat.

Throughthecomparisonandanalysisformanyheuristic

algorithms,Iintroducedanimprovedevolutionaryalgorithm--

dingawhole

populationintoveralsub-populations,thisimproved

algorithmcaneffectivelypreventGAfromlocalconvergenceand

edmore

efficientlythanSGAinexperiments,econdmester,

Ijoinedtheworkshop-schedulingrearchinShanghaiHeavy

edulingwasdesignedfortherubber-

makingprocessthatcoverednotonlydiscretebutalso

abalancepointbetween

optimizationqualityandtimecost,IpropodaDynamic

practicalapplicationshowedthattheaveragemakespanwas

ublicizedtwopapersincore

ly,Iamdoingrearchinthe

CompositePredictoftheElectricalPowersystemassistedwith

combinethe

DecisionTreewithRecedingOptimizationtoprovideanew

ojectis

nowunderconstruction.