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麻省理工科研项目
进入美国顶尖名校实验室/科研组,接触尖端科学;师从美国导师开展实验项目,丰富CV\PS履历;
{项目类型:"全球顶尖大学科研项目(三周,公寓)|A;全球顶尖大学科研项目(三周,Homestay)|B;全球顶尖大学科研项目(四周,公寓)|C;全球顶尖大学科研项目(四周,Homestay)|D"}

项目费用:{A:82800,B:85800,C:100800,D:103800}
项目编号:US2019322
出发城市:广州
招生对象:优秀大学生

项目介绍

I 经济、金融、商科类科研项目

经济学学科在美国是最受欢迎的学科之一。原因之一是就业,经济学的就业前景却非常广阔,从政府机构(如世界银行,国际货币基金组织,美国联邦银行)到企业(如Facebook,Uber等企业每年都招聘很多经济研究人员),甚至很多NGO组织有很欢迎经济学背景的人。其次,经济学科学更有趣,经济学研究的内容和实际生活联系很紧密,不需要天天枯燥地待在实验室做实验搬砖。

经济学在名校申请中有其特殊性。不像物理、化学、生物等学科,在众多的国内和国际比赛中取得好的成绩,是以后求学申请中非常客观的标准。经济学没有这些竞赛,所以尽早接触这些学科的内容,拿到相关导师的推荐信非常有帮助。美国这些年经济学申请的趋势是,90%的学生进入研究生学习之前,都有一到两次的Research Assistant的助研经历。这种经历比起高的GPA和英语成绩更为重要。

 

参加经济或金融课题研究都学习什么?

学生们参加的项目都是目前顶级名校教授带着博士和博士后研究员们正在进行的研究课题,是真实的,最前沿的学术研究项目,在项目的研究和学习过程中,学生们将得到系统综合的训练。

1、经济和金融理论的学习和研究;2、经济和金融模型建模及分析;3、课题研究过程,数据收集处理分析,文献资料查阅索引,论文或者报告的撰写等所有科研必经过程的学习;4、学术研究所需的工具、软件等的预先学习和使用;5、旁听麻省理工相关课程,提前了解名校硕博的培养方式;6、名校师资师哥师姐学术和学业交流,积累行业内精英人脉资源。

 

科研助理招募要求:

专业背景:经济、金融、数学、统计、计算机等相关专业;

英语水平:TOEFL80+/IELTS6.0;

软性背景:有一定的科研履历者优先;

参与时间:寒假、暑假期间(总计1个月左右);

科研地点:名校大学科研组会议室等;

申请时间:Rolling,额满为止;

 

目前可接受申请的项目有:

麻省理工学院经济金融科研项目;

 

麻省理工学院经济金融学科研项目

Massachusetts Institute of Technology Finance Research

 

科研主题

以下领域内的相关课题,具体课题根据学生的基础,导师面试后确定。

Financial Engineering [金融工程学]

Financial Economics [金融经济学]

Economics of property markets  [房地产市场经济学]

The impacts of regulation  [监管的影响]

The sources of equity and debt financing  [权益和债务融资的来源]

Mathematical Finance  [数理金融学]

Financial Econometrics  [金融学计量经济学]

 

科研内容及计划(参考课题之一)

Introduction:

This is a project-based style workshop spanning real estate mathematical finance, housing, regional science, public policy, and urban economics. We offer a unique opportunity for the exchange of ideas and the application of research relevant to applied decision making in real estate finance and urban economics. The workshop provides new insights into the intersection of real estate finance, urban economics, and spatial big data analysis. It draws upon original research of the utmost quality to probe into most exhilarating questions about real estate dynamics. Through hands-on quantitative research projects, students should be able to have a firm grasp of the techniques essential to understanding and evaluating housing markets, capital markets, the urban economy, land use, environmental sustainability, urban transportation, and public finance and policies.

Project for Week 1: Understanding real estate price dynamics and regulations in Chinese cities.

Session 1: The Real Estate Sector

An introduction of the most fundamental concepts, principles, analytical methods and tools useful for studying the housing markets; Comparative statics: predicting changes in real estate markets.

Session 2: Micro and Macro Economic Analysis

A thorough review of urban economics concepts; Case studies: comparing urban policies and their implications for real estate in U.S. and China.

Session 3: Residential Land Markets: Prices and Land Use

Location and rents: spatial equilibrium; urban growth, rents, and prices.

Project for Week 2: Investigating the relationship between urban vibrancy and regional innovation and entrepreneurship capacity.

······

Session 12: Real Estate Effects of Environmental Degradation

Transition from production cities to consumption cities; air pollution, health spending and willingness to pay for urban amenities; case studies: pollution for promotion? Understanding environmental degradation in China from a perspective of urban governance and political economy: institutions, incentives, and consequences.

Tentative Textbooks:

DiPasquale, Denise and William C. Wheaton. 1996. Urban Economics and Real Estate Markets. Prentice Hall.

Geltner, David M., Norman G. Miller, Jim Clayton, and Piet Eichholtz. 2007. Commercial Real Estate Analysis and Investments. Cincinnati, OH: South-Western Educational Publishing.

II 计算机与人工智能科研项目

1956年夏季,以麦卡赛、明斯基、罗切斯特和申农等为首的一批有远见卓识的年轻科学家在一起聚会,共同研究和探讨用机器模拟智能的一系列有关问题,并首次提出了“人工智能”这一术语,它标志着“人工智能”这门新兴学科的正式诞生。IBM公司“深蓝”电脑击败了人类的世界国际象棋冠军更是人工智能技术的一个完美表现。

人工智能是计算机学科的一个分支,二十世纪七十年代以来被称为世界三大尖端技术之一(空间技术、能源技术、人工智能)。也被认为是二十一世纪三大尖端技术(基因工程、纳米科学、人工智能)之一。这是因为近三十年来它获得了迅速的发展,在很多学科领域都获得了广泛应用,并取得了丰硕的成果,人工智能已逐步成为一个独立的分支,无论在理论和实践上都已自成一个系统。

计算机与人工智能实验室以及各个研究中心开展的研究项目都是应用高科技知识和技术来解决人与社会、城市等更和谐的发展,智能交通研究中心将在智能交通技术、计算视觉技术、机器人、人工智能应用、能源与环境、环球村和谐发展等领域加大研究力度,同时也为优秀的学生们创造条件深入到科学研究的第一线,真实的科研学术环境帮助学生更深入、更直观地完成学习体验的同时,也能为优秀的学生带去更有效的学习方式。

 

科研助理招募要求:

专业背景:自动化计算机机电一体化电子工程、机械工程等相关专业;

英语水平:TOEFL80+/IELTS6.0;

软性背景:有一定的科研履历者优先;

参与时间:寒假、暑假期间(总计1个月左右);

科研地点:名校大学科研组会议室等;

申请时间:Rolling,额满为止;

 

目前可接受申请的项目有:

麻省理工学院计算机与人工智能科研项目;

     

麻省理工学院计算机与人工智能科研项目

Massachusetts Institute of Technology

Computer Science and Artificial Intelligence Research

 

科研主题 

以下领域内的相关课题,具体课题根据学生的基础,导师面试后确定。

machine vision[机器视觉]

machine  learning[机器学习]

sensor fusion for intelligent vehicle and intelligent transportation systems

[智能车辆与智能交通系统的传感器融合]

big data analysis and systematic development of Universal Village

[环球村背景下大数据分析和系统开发]

an extended version of Smart Cities[智慧城市]

Universal Village[环球村]

MRI image analysis[MRI图像分析]

data analysis for intelligent healthcare[智能医疗数据分析]

 

科研内容(以往项目参考课题之一)

 

我们将开发一个三维系统,以可靠的交通监控解决车辆和阴影重叠的问题

The Problem and Goal:

Traffic monitoring systems detect traffic accidents and congestion for immediate assistance and/or traffic flow control. Conventional loop detectors are installed under the pavement and require regular maintenance which is disruptive to traffic. TV-camera based systems are an alternative solution providing non-disruptive monitoring. An advantage of TV-camera-based traffic monitoring systems over loop detectors and acoustic detectors is that the traffic control centers can have a first hand view of the traffic sitution. The problem with conventional TV-camera-based systems is that the systems are confused with overlapping vehicles and shadows, and the systems cannot provide highly accurate measurement results. To avoid overlapping vehicles, overhead structures are used. These structures usually cost more than the machine vision systems. 

Our goal is to develop a three-dimensional system for reliable traffic monitoring solving the problem of overlapping vehicles and shadows.

Approach:
Our traffic monitoring system is a TV-camera based system to provide traffic control centers with a real-time view of the traffic situation. We use our three-dimensional vision system described on page 15 to address the accuracy problems with conventional two-dimensional systems. The cameras are located on the side of the road as shown in Figure 1 and expensive overhung structure is unnecessary. The system uses three-dimensional data to eliminate problems with overlapping vehicles and shadows. 

The three-camera system produces an edge depth map containing the distances of the edge of objects in the image. The three-dimensional data is used to distinguish between vehicles and enable traffic monitoring. Figure 2 displays the center image and the edge depth map. The colors indicates the different distances of the object.

Figure 3 is a histogram of the distance vs. number of edges in the depth map. Therefore vehicles are distinguished by the distance from the cameras. Each peak in the histogram correlates to an object in the image.

 

 III 生命科学和医学类科研项目

人体能够完全修复自身损伤吗?怎样在实验室中用病人的一小块皮肤培养出一个完整的肝脏?人类可以返老还童甚至永生吗?现代生物医学的进步正在让这些科幻似的构想慢慢变成现实,并影响着我们生活的各个方面。

生物医学工程学科是以解决医学中的有关问题,保障人类健康,为疾病的预防、诊断、治疗和康复服务的一门学科。是一门具有高度综合的交叉学科,这是它最大的特点。生物医学工程综合工程学、生物学和医学的理论和方法,在各层次上研究人体系统的状态变化,并运用工程技术手段去控制这类变化。

生命科学和医学的科研项目让学生对现代生物医学的概念和技术有一个全面而详尽的了解,并对生物化学医学等研究的最前沿进展进行学习和讨论,并能够亲手参与科研设计。在科研中学生有机会接触到最新的生物、化学、医学、药学以及心理学等科研技术及其在现实生活中的应用。

在科研完成后,学生将全面了解生物医学研究的整体流程和框架,培养学生了解生命科学、电子技术、计算机技术及信息科学等有关的基础理论知识以及医学与工程技术相结合的科学研究能力,使学生能在生物医学工程、医学仪器以及其它电子技术、计算机技术、信息产业等领域有一个全面的了解并对现代生物医学技术的某个尖端领域有一个完整的认识,对学生以后选择未来的专业和人生规划提供帮助。

 

科研助理招募要求:

专业背景:生物、化学、医学、药学等生命科学相关专业;

英语水平:TOEFL80+/IELTS6.0;

软性背景:有一定的科研履历者优先;

参与时间:寒假、暑假期间(总计1个月左右);

科研地点:名校大学科研组/临床医院;

申请时间:Rolling,额满为止;

 

目前可接受申请的学校有:

麻省理工学院生物医学科研项目;

 

麻省理工学院生物医学科研项目

Massachusetts Institute of Technology Biomedical Science Research

 

科研主题

Biomedical Engineering [生物医学工程]

Biomechanics and Biophysics of the Cell [细胞生物力学与生物物理]

Malaria [疟疾]

Nanoscale Properties of Biological Materials [生物材料的纳米级性质]

Nanostructured or Amorphous Materials [纳米结构或非晶态材料]

Nano-Indentation and Micro-Indentation [纳米压痕与微压痕]

Surfaces and Thin Films [表面和薄膜]

Functionally Graded Materials [梯度功能材料]

 

科研内容摘录

 

  Organ-on-a-Chip Systems: Microengineering to Biomimic Living Systems for Biomedical Application

Keywords: Organ-on-a-Chip, 3D cell culture, microfludic, biomaterials, drug delivery, disease model

Recommendation: This program is designed for students who are intrested in interdisciplinary fields, expecially biomedical engineering, biomaterials, tissue engineering, and human diseases.

 

Abstract

Organ-on-a-chip system is a kind of new biomedical research method to recapitulate organ-level structures and functions for drug evaluation and disease model. It can be used to simulate the microstructure, microenvironment, and functional features of human organ, and have a potential to be applied in drug screening and clinical diagnosis and treatment.It will focus on the fundamental understanding of structure-function relationships in normal and pathological mammalian tissues or organs and the development of biological substitutes to restore, maintain or improve organ functions. Building physiological and pathological organ on a chip will provide a good platform for biomedical research. The greatest value of sophisticated organs-on-chips for the pharmaceutical and biotechnology industries may lie in the validation and prioritization of lead drug candidates, and the chips may be used to identify new biomarkers of drug efficacy, toxicity or disease response for clinical trials. These organ-on-a-chip systems may open up new horizons in biomedical research and industrialization prospect.

 

This program is mainly releated with the organs, such as liver, Lung, spleen, and vascular system. It is associating with interdisciplinary fields between  microfluidic  chip  and  tissue  engineering open to students who are actively interested in the emerging fields of multiple softwares design (e.g. auto-CAD, 3D max, comsol simulation), microfabrication technologies (e.g. Soft lithography, 3D bioprinting, microfludic chip), new materials (e.g. biomaterials,  photonic crystal materials), and biological technologies (e.g. biological sensing and imaging, devices). Students will undergo rigorous scientific training for experimental operation, software application, micro-machining and paper writing in research lab.

IV 工程技术类科研项目

技术(Technology)和工程(Engineer)在美国的STEM(是美国鼓励学生主修科学、技术、工程及数学的一项计划)计划中占有非常重要的比例。在美国的最新政策中,STEM专业的毕业生可以申请额外17个月的OPT延期,因此,选择STEM项目,对于国际学生在美国找工作来说是莫大的优势!

 

工程技术类的课题研究项目旨在培养学生对工程技术学科,尤其是在机械工程、电子电气工程、通信工程、化学工程、材料工程、土木工程、计算机技术、人工智能等领域参与到世界顶尖名校课题组内部,了解前沿领域的研究项目,在导师的指导下进行科研项目的开展能力,从而具备基本的科研素质、能够撰写一定质量的学术论文,为后续课程的学习和将来专业的选择奠定基础,对学生自己未来的职业发展有着十分重要的意义。

 

科研助理招募要求:

专业背景:机械、电子、材料、计算机等工程技术相关专业;

英语水平:TOEFL80+/IELTS6.0;

软性背景:有一定的科研履历者优先;

参与时间:寒假、暑假期间(总计1个月左右);

科研地点:名校大学科研组/会议室等

申请时间:Rolling,额满为止;

 

研究领域及研究方向:

[机械工程][电子工程][电气工程][通信技术][材料工程][土木工程][化学工程] [环境工程] 

 

目前可接受申请的学校有:

麻省理工学院机械工程科研项目;

麻省理工学院电气工程科研项目;

麻省理工学院材料化学工程科研项目;

麻省理工学院土木工程科研项目;

麻省理工学院环境工程科研项目;

 

 

麻省理工学院机械工程项目

Massachusetts Institute of Technology Mechanical

Engineering Research

 

科研主题

以下领域内的相关课题,具体课题根据学生的基础,导师面试后确定。

computer vision  [计算机视觉]

simulation [仿真]

optimization  [优化]

metrology  [计量学]

autonomous systems  [自治系统]

Automotive Engineering  [汽车工程]

Control/Robotics [控制机器人]

Motion planning [运动规划]

Reinforcement learning [强化学习]

Smart Manufacturing  [智能制造]

Micro and Nanotechnology  [微纳米技术]

large‐scale computation and simulation  [大规模计算和仿真]

robotic mathematical modeling  [机器人数学建模]

 

科研内容及计划(参考课题之一)

研究模块 1 ——机械设计与制造

        该模块主要介绍传统机械设计与制造。主要内容包括:常见机械装置介绍(齿轮机构,连杆机构,链条传动,皮条传动等等);3D计算机辅助设计(Solidworks设计机械零部件与组装);常见加工制造工艺介绍(车床,铣削,激光切割等等);3D打印原理与实例介绍;机器人手臂与机械手设计介绍。该模块主要意图让学生了解设计大型机械结构的根基,即各种基本的机械机构,并且让学生了解最基本的加工工艺,希望学生以后看到机械系统时候能够思考整个系统是如何被一步步构建起来的。

研究模块 2 —— 机械系统的电控制

        该模块主要介绍怎样用程序语言以及电信号来控制机械结构。如果说机械机构就像人体的肌肉和手足一样的话,那么电控系统则像大脑一样控制着四肢的运动。该模块将主要介绍嵌入式编程系统和图形化编程系统。嵌入式编程以Arduino为例,介绍基础的C语言编程,并且示例怎样控制模块1中设计的机械手;图形化编程以Labview为例,介绍Labview的图形化编程界面,并且示例怎样控制模块1中设计的机械夹持器。

研究模块 3 ——电子系统设计与调试

        在很多情况下,跟机械系统交互的电子系统并不是简单的芯片,而需要设计一定功能的电子电路来处理信号。该模块介绍简单的电子工程知识。首先介绍基本的电路元件,然后以医疗EKG为例,介绍怎样利用基础电路元件设计具有一定功能的电子器件,并介绍怎样利用实验室基础的测量仪器来测试所搭建的电路,最后简单介绍用Matlab编程进行简单的数字信号处理。

研究模块 4 —— 系统集成与控制

        最后一个模块将会概括前面所有模块的内容,介绍系统集成与控制。首先介绍闭环控制必须的硬件——传感器;然后以超声波检测系统为例,介绍如何控制机械系统,集成电子系统,以及数字信号处理。

 

麻省理工学院电气工程科研项目

Massachusetts Institute of Technology Electrical engineering

 

科研主题

Atomic Physics[原子物理学]

Information Science and Systems[信息科学与系统]

Photonic Materials Devices and Systems[光子材料与系统]

Biomedical Science and Engineering.[生物医学科学与工程]

Carbon nanotubes, nanotube electronic devices, semiconductor nanowires, organic molecules, chemical sensors, electron transport, one-dimensional interacting systems, chemical vapor deposition methods, quantum transport phenomena[碳纳米管、纳米管电子器件、半导体纳米线、有机分子、化学传感器、电子输运、一维相互作用系统、化学气相沉积方法、量子输运现象]

Graphene: synthesis, transfer, characterization and growth mechanisms  [石墨烯的合成、转移、表征及生长机理]

Basic electronic components  [基本电子元件]

科研内容摘录

Development of Electric Machines for Electric Vehicles

Massachusetts Institute of Technology

Keywords: electric machine, electric vehicle, doubly-salient, fluxswitching

Recommendations: This program is designed for students who are interested in electric engineering and electric machine designs used in emerging applications.

Abstract:

Owing to increasing concerns on energy utilization and environmental protection, more attentions have been placed on electric vehicles recently. As a soul of an electric vehicle system,the development of electric machines has become a hot research topic. The electric machines can be generally categorized as two major groups, namely the brushed machines, and the brushless machines. As compared with the brushed ones, the brushless machines can enjoy the absolute advantage of maintenancefree operation, so that these type of machines have become the major trend since the last few decades. Some conventional brushless machine types, such as induction machine or permanent-magnet synchronous machine, are highly technological mature for industrial applications while some advancing machine types, such as doubly-salient machine and flux-switching machine, are also very promising. It is worthwhile placing some attentions on these newcomers. This program focuses on

learning latest technologies of electric vehicles, studying traditional and modern electric machines and developing analytical model for electric machines. Throughout the program, students are expected to learn fundamental knowledge of electric machines and electric vehicles, to study and analysis of new machine types, including doubly-salient machine and flux-switching machine and to develop analytical models with Matlab.

 

麻省理工学院材料科学/电化学科研项目

Massachusetts Institute of Technology

 Materials Science And Electrochemistry Research

 

科研主题: 

以下领域内的相关课题,具体课题根据学生的基础,导师面试后确定。

Nanomaterials for energy[纳米能源]

In situ electron microscopy[原位电子显微术]

Physical metallurgy and mechanics[物理冶金学及力学]

Computational materials science[计算机材料科学]

Nanomaterials, Carbon Nanotubes, Energy Storage,Battery,Lithium Ion Batteries,Carbon, Lithium Battery, Amorphous Carbon,[纳米材料、碳纳米管、储能、电池、锂离子电池、碳、锂电池、无定形碳]

 

科研内容

(参考课题一)

One-dimensional Nanomaterials for Energy Storage

Keywords: Energy storage; nanomaterials, carbon, in situ TEM
Recommendation: This program is designed for students interested in energy science and technology and energy storage devices for electric vehicles and hybrid electric vehicles.

Abstract:

Because of the decrease of fossil fuel and the ever-growing need for a clean and secure energy, there has been an increasing demand for developing a new generation of electric energy storage for powering low or zero emission electric vehicles (EVs), hybrid electric vehicles (HEVs), and others. Among all types of batteries, lithium battery has gained a continuously growing scientific interest because its theoretical energy/power density is the highest for all solid electrodes. It, however, is very difficult to be employed in industrial area due to the internal short circuiting caused by the formation of dendritic lithium, resulting in a catastrophic failure and unsatisfactory cycling life of battery. Recently, Lithium/sodium-ion batteries (YIBs, Y=L and N), lithium/sodium-sulfur batteries (YSBs) and supercapacitors (SCs) have attracted many attentions in view of their long cycling life, rate capability, safety issue.

(参考课题

Session 1: Materials for solar energy conversion Task 1: Learn some basic concepts of charge (ion, electron) transport and materials required for solar energy conversion. References: Solar Energy Materials and Solar Cells 54 (1998) 39-48

Session 2: Anodic oxides for electrochromic windows Task 2: To be determine. References: 1.Solar Energy Materials & Solar Cells 99 (2012) 1-13 2.http://www.annualreviews.org/doi/pdf/10.1146/annurev-matsci-062910-100344

Session 3: Cathodic oxides for electrochromic windows Task 3: To be determine References: 1. Solar Energy Materials & Solar Cells 99 (2012) 1-13 2. http://www.annualreviews.org/doi/pdf710.1146/annurev-matsci-062910-100344 

Session 4: Transparent conductors as solar energy materials Task 4: To be determine References: 1. http://iopscience.iop.org/article/10.1088/0957-4484/24/45/452001/pd 

……     

 ……

Session 9: Substrate materials for CPV Task 8: To be determine References: To be determine

 

麻省理工学院土木工程科研项目

Massachusetts Institute of Technology Civil Engineering

 

科研主题

以下领域内的相关课题,具体课题根据学生的基础,导师面试后确定。

Materials Science[材料科学]

Concrete science[混凝土科学]

Buildings & Pavements[建筑与人行道]

Economics & Environment[经济与环境]

 LIFE: Life-cycle thinking, Innovation, Fiscal responsibility, Environmental leadership

[生命:生命周期思维、创新、财政责任、环境领导]

Concrete and infrastructure science, engineering, and economics

[混凝土与基础设施科学、工程与经济]

 

科研内容

 

Civil Engineering Research Schedule

Tutoring Subject: Concrete Properties at Multiscales

Introduction: This research program is a summary of several topics of concrete research at MIT. Concrete is a very common material in construction field for its excellent properties. Even though we have used it for quite a long time, there are still many mysteries about it. In order to explore the essential material properties of concrete, CSHub at MIT has conducted many analyses at different scales, such as nano, micro, and macro scales. Based on multiscale methods, the properties obtained at nano and micro scales can be reflected at macro scale. The research can help industries produce concrete with better properties and reduce the environmental effects. By introducing this topic, we will help students experience the process of scientific research and improve their ability to discover, analyze and solve scientific problems and make preparations for their future study in the US.

Schedule:

Class 1: Introduction to concrete properties at multiscales

Class 2: Concrete properties at multifield scenarios

Class 3: Background Survey

Class 4: Summarize research papers and discover research problems

Class 5: Introduction to Matlab

Class 6: Introduction to FEM (Finite element method)

Class 7: Build a numerical model and explore the corresponding algorithm

Class 8: Realize the algorithm and obtain the solution

 

麻省理工学院环境工程科研项目

Massachusetts Institute of Technology Mechanical Engineering Research

 

科研主题

以下领域内的相关课题,具体课题根据学生的基础,导师面试后确定。

Organic Geochemistry [有机地球化学]

Biogeochemistry [生物地球化学]

Biomarker [生物标志物]

Carbon Cycling  [碳循环]

Climate Change  [气候变化]

Geology  [地质学]

Oceanography  [海洋学]

Marine Geology  [海洋地质学]

 

科研内容及计划(参考课题举例

课题 

Climate Change and Global Carbon 候变化与全球碳循环

Keywords: climate change, carbon cycle, organic carbon, ocean

关键词:候变化,碳循环,有机碳,海洋

Recommendation: This project will focus on a hot topic in the field of Earth science: climate change. This project is a perfect fit for students who are interested in understanding how the Earth climate has changed in the past and knowing how human have induced climate change over the past century.

https://eapsweb.mit.edu/

建议:本项将集中讨论地球科学领域的个热门话题:候变化。这个项⽬⾮常适合那些有兴趣了解过去地球候如何变化并了解类在过去个世纪中如何引起候变化的学

Introduction:

One of the primary goals of Earth sciences is to investigate the past to better predict Earth’s future. The carbon dioxide level in the atmosphere is an important parameter to consider as it is highly related to the temperature on Earth and therefore largely affects the evolution of the biosphere. Consequently, many studies focus on studying carbon cycling on Earth since atmospheric carbon dioxide is an important pool of global carbon cycle and closely interacts with many other carbon pools, such as carbon stored in rocks, sediments and soils. Since the industrial resolution in 1900s, human activities have largely elevated the natural carbon dioxide level in the atmosphere. It has been proposed that the atmospheric temperature has elevated by 0.7 degree since the industrial resolution. Rivers on Earth are an important pathway of carbon mobilization because rivers transport carbon from terrestrial sources, such as soils and plants to the ocean, where the carbon will be burial permanently. Considering that carbon in plants and soils are formed from the atmospheric carbon dioxide through photosynthesis, the river transport and the following carbon burial in the ocean serves as an effective way of drawing down the atmospheric carbon dioxide level. However, this process is complicated in the nature systems and requires many factors to be considered to better predict Earth’s future.

This primary goal of this project is to ensure students have a good understanding of Earth as a system and the general carbon cycling on earth. Many topic and processes will be covered in this project. As explained earlier, riverine transport of carbon from the land to the ocean is one topic. Another possible topic could be the erosion and oxidation of carbon from rocks. Other topics could be discussed if students have a specific preference. Students are encouraged to work on one specific process. Students will be recommended to make a presentation on the work they have done and a short review would be preferred in either English or Chinese.

 

课题

Identifying Sources and Ages of Petroleum Oils Using Organic Geochemical Biomarkers

有机地球化学物标志物识别油的来源和时代

Keywords: petroleum, oil, organic geochemistry, biomarker

关键词:油、油、有机地球化学、物标志物

Recommendation: This is a project designed for students who have background in chemistry and biology. This project is recommended for any students who are interested in the industrial market and research position for their career.

建议:这是个为有化学和物背景的学设计的项。此项适合对业市场和研究感兴趣的学

Introduction

Petroleum oil is formed in the sedimentary basins (e.g., paleo-lakes, coastal margins) over millions of years. Oil exploration, especially oil reservoir evaluation, requires us have a good understanding of when the oil was formed, how the oil was migrated and how good the quality of the oil is. Organic geochemistry is a popular tool of investigating properties of the oil and answering all these questions by analyzing oil samples quickly on the instrument. However, in order to answer all these questions and to provide useful consulting reports to the industry, it is necessary to have a solid background in organic geochemistry, especially oil related biomarkers. Specifically, it requires us understand how these biomarkers are formed and how they are altered  depending on environmental conditions and the history of oil generation. In the meantime, many biomarkers used for oil exploration could be applied in many other fields, such as answering environmental related questions.

The goal of this project is to ensure students have a good understanding in organic geochemistry, to be familiar with some oil-related biomarkers. Meanwhile, students will be provided with data generated from real oil samples. Students are encouraged to explore the possible age, source, maturity of these oil samples based on the knowledge they will learn. Students are recommended to write a report including background of some specific biomarkers and the logic they use to diagnose these samples.

V 自然科学类科研项目

自然科学包括数学物理学化学生物学天文学基础科学医学农学气象学材料学等应用科学。科学(Science)和数学(Mathematics)在美国的STEM(是美国鼓励学生主修科学、技术、工程及数学的一项计划)计划中同样占有非常重要的比例。在美国的最新政策中,STEM专业的毕业生可以申请额外17个月的OPT延期,因此,选择STEM项目,对于国际学生在美国找工作来说是莫大的优势!

数学、物理等自然科学类的课题研究项目帮助学生进入到世界顶级名校课题研究小组,对相关科目深入学习,通过课题研究来用科学技术解决现实存在的问题。除了专业理论知识的深入研究和实践相结合外,项目导师还会介绍学生使用EndNote等管理软件包来查阅和管理参考书目以及参考文献,助力学生项目研究以及未来学习和撰写论文以及学术文章。通过参加科研项目,学员将从不同的角度发现、分析和解决实际问题,提升研究能力,助力学生未来深造和发展。

 

 

招募要求:

专业背景:数学、物理、化学、生物等相关专业;

英语水平:TOEFL80+/IELTS6.0

软性背景:有一定的科研履历者优先,数理背景强悍者优先;

参与时间:寒假、暑假期间(总计1个月左右);

科研地点:名校大学科研组会议室其他教学场所

 

可接受申请的学校

麻省理工学院量子光学物理科研项目;

麻省理工学院地理信息系统科研项目;

 

麻省理工学院量子及光学物理科研项目

Physical Optics Research at Massachusetts Institute of Technology

 

科研主题

以下领域内的相关课题,具体课题根据学生的基础,导师面试后确定。

Nonlinear optics[非线性光学]

Quantum optics[量子光学]

Computational optics[计算光学]

Quantum teleportation   [量子隐形传态]

Quantum entanglement   [量子纠缠]

Quantum communication  [量子通信]

Applied Physics[应用物理学]

 

科研内容(参考课题之一)

 

Research Subject:  Physical Optics

This summer research program is a summary of several topics in optics. In this program, students will be introduced to the current research topics, including nonlinear optics, quantum optics, and computational optics. We will build an interferometer and get to experience cool experimental aspect in optics. A few mini-projects will be given to help understanding the material. Upon completion of this program, students should have comprehensive knowledge about the field of optics.

 

科研计划摘录

Session 1: Quantum Technology Overview

Task 1: Overview of what we can do with quantum enhanced technology. Topics include quantum teleportation, quantum entanglement, quantum communication, and others.

Session 2: Fundamental of Quantum Mechanics, an Introduction

Task 2: Learn some basic concepts of quantum mechanics. Topics include Schrödinger and Heisen-berg picture of quantum mechanics, Dirac notation, etc.

Further reading:

Griffiths “Introduction to quantum mechanics” Section 3.6

Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles

Introduction to Quantum Mechanics by Bransden and Joachain

MIT opencourseware 6.453 ······

Session 6: Fourier Optics and propagation of light (mini project) ·······

Session 8: Holograph, phase retravel and 3D imaging (mini project)

Task 8: Learn several 3D imaging methods (recover the phase of the wave). We will do simulation and process the real image data using MATLAB.

…………

麻省理工学院地理信息系统科研项目

GIS Program of Massachusetts Institute of Technology

 

科研主题

以下领域内的相关课题,具体课题根据学生的基础,导师面试后确定。

GIS science[GIS科学]

data-driven urban environment studies[数据驱动的城市环境研究]

human mobility and travel behavior proling[人类移动和旅行行为研究]

urban computing and spatial analyses[城市计算和空间分析]

remote sensing[遥感]

 

科研课题简介:

GIS programming

Program Description & Goals

Geographers rely heavily on using GIS tools for spatial data processing and spatial analysis. However,

the algorithms embedded in commercial software may not enough for some geographical analyses. Programming skills are required for geographers to adapt to the quantitative revolution in Geography. Geographers do not need to be professional programmers or be professionals in JAVA or C++. This program will use Python, a very easy learning and powerful programming for handling spatial data and do spatial analysis. A basic programming skill is needed for all geographers, who may join academia or industry in future. The focus of the program is on both breadth and depth. The major topics include basic python programming, data structures and algorithms in Python, advanced functions and tools coding, fundamental spatial data structures and algorithms, and open source Python modules.

The goals of this program are:

 To help students get the basic programming skills using Python.

 To learn how to use Python to manipulate spatial data.

 To be familiar with using Python script for handling large dataset.

 Let students know how to teach themselves about Python programming in GIS.

Pre-requisites:

Introduction of Geographic Information Science, be familiar with basic operations in ArcGIS

and understand the basic ideas of using GIS software to deal with spatial data.

 

Outlines:

1. Introduction of programming in GIS

Why programing in GIS?

What programing can do in GIS?

2. Introduction of Python programming

Why use Python?

The applications of Python in academia and industry.

3. Development environment

Using conda to manage Python and Python modules

Using Jupyter for Python programing

·······

·······

·······

18. Extension: Collecting data online using APIs

Using Python to collect data online.

Using Twitter API, Google API to download publicly accessible big data.

19. Introduction of HTML/Javascripts/CSS

Basics of HTML

Introduction of programing in Javascripts

20. Online Mapping using open source libraries

Using leaflet to create online Map

Using mapbox to create online map

Student Projects

Resource for Python learning:

1. Python books: Python Geospatial Development, 2nd Edition, you can download this book

from Google IT ebook free.

2. Python GDAL cookbook: https://pcjericks.github.io/py-gdalogr-cookbook/

3. Python ArcPy: http://pro.arcgis.com/en/pro-app/arcpy/get-started/what-is-arcpy-.htm

 

 

 

 

 

 

 

 

 

 

 

VI 人文学科类科研项目

人文学科包括“文(文学)、史(历史)、哲(哲学)以及语言学、考古学、建筑学、艺术和设计等。在项目研究期间,学生将通过包括调查采访实验室行为研究等人文研究常用方法,通过广泛的阅读现代经典著作,利用科研相关的工具、数据收集处理、文献综述提炼引入批判性思维等发展自己的研究重点创造性思考所研究领域的当前问题,项目结束时,学生将完成研究论文,以展示他们在他们在整个项目研究和学习的成果。

建筑设计研究项目涵盖设计课Studio、东西方建筑发展史、建筑形式,空间、秩序、平面图,立面图,以及剖面图的绘制、设计表现以及维建模软件的运用、建筑渲染图制作等。该研究计划旨在让学生对设计专业的学习方式——Design Studio(设计工作室) 有一个全面详尽的了解,并且能够充分参与其中。设计不仅仅是书本中的知识,更重要的是学生对设计的实践。与此同时,该研究计划还会在 studio 课程中辅导学生设计配套软件的使用能力,软件包括Rhino(三维建模软件)AutoCAD(建筑制图软件)Adobe suits(PhotoshopIllustrator)等。科研完成时,学生将会全面了解并体会到美国名校建筑学的培养流程,并对设计专业尤其是建筑设计专业有一个完整的认知,将对学生今后的专业选择或者人生规划帮助良多。

 

招募要求:

专业背景:相关人文学科、平面设计、建筑等相关专业;

英语水平:TOEFL60+/IELTS5.0;

软性背景:有一定的设计履历者优先;

参与时间:寒假、暑假期间(总计1个月左右);

科研地点:科研组会议室、工作室等;

申请时间:Rolling,额满为止;

 

可接受申请的学校:

麻省理工学院建筑设计与城市规划科研项目;

 

 

麻省理工学院建筑设计与城市规划科研项目

Massachusetts Institute of Technology

Architectural Design and City planning Research

 

科研主题

urban dynamics[城市动力学]

geo-spatial analysis[地理空间分析]

big data visualization数据可视化]

computational urban design算城市设计

Fabrication 3D print3D打印] 

Graphic & Rendering:[图形与渲染]

3D Modeling[三维建模]

Film Editing[电影剪辑

Ulead Video Studio ULead视频工作室]

 

科研内容

研究模块 1 ---- Design Studio (设计工作室)

设计工作室是设计教学的展开途径,也是设计类学生的最重要的课程,设计学习与实践的绝大部分时间都会在 studio 中度过。与一般教师讲课学生听课的方式不同,studio是一个需要学生全身心参与其中,针对某个主题,提出自己独到的设计方案,并且与导师充分交流深化,最终通过绘图纸、做模型、画效果图等方式表达设计成果的一个过程。Studio 的重要性对于设计系学生不言而喻,也将会是本次研究的重点之一。导师将会借鉴MIT设计工作室的流程和培养方法,将最原汁原味的 MIT Design Studio呈现给学生。

此次 Design Studio 将会针对某一特殊场地(例如 MIT Yard),经过前期场地调研,分析,提出各自设计观点,和导师讨论深化,并且运用学习到的建筑知识和软件技能完成设计。最终的形式是 presentation(答辩展示),将会邀请MIT老师以及设计系同学参与,为学生的设计作品提供高质量反馈。

 

研究模块 2 ---- Lecture – Design History (设计历史)

Lecture 是设计系学生学习的一个重要方式,通常由知名的建筑师或者讲师举行。在科研期间,学生将有机会亲自聆听建筑大师或世界著名设计师等在MIT举办的讲座。

同时,导师也会为学生开展主题讲座,介绍建筑学的历史沿革和发展脉络,建筑学的形式、空间、秩序研究等。作为 Studio(设计深度)的补充,lecture 能够很好的提升学生的设计背景知识,丰富学生设计的广度。

设计讲座不仅能为学生的设计作品提供参考和支持,更是提高个人艺术修养和设计基本素质的重要方法。Studio  Lecture 共同构成了MIT设计学院世界一流水平的基础,也是区别的其他大学最负有盛名之处。

 

研究模块 3 ---- Advanced Architecture Skills (进阶建筑技能)

在此模块将会重点介绍建筑的专业概念和技能,例如:建筑平面图、立面图、剖面图、分析图、表现图等的绘制,建筑模型的制作。还会介绍建筑设计的逻辑思维:空间、形式、秩序等。学生能够在此模块学到实打实的建筑技能,所用教材和参考书均来自MIT建筑系推荐必读书目,是国外建筑系的经典教材。导师同时提供MIT建筑系的海量资源可供学生课外参考学习,丰富学生设计学习的体验,让学生能在学习设计的起点就站在全世界设计教育的最顶尖处,无论对学生以后的专业素质培养或者是人生选择都会是大有裨益。

 

研究模块 4 ---- Design Software (设计软件)

设计软件是设计系学生将设计付诸于呈现的最后一环,所有设计的呈现都需要用到设计软件,例如 3 维建模软件,图像处理软件,绘图软件等。在辅助学生完成 studio 的过程中,导师将会添加设计辅助软件的教学,例如 Rhino(三维建模软件)AutoCAD(建筑制图软件)Adobe suits(PhotoshopIllustrator)图像处理和绘图软件等。从而让学生真正掌握设计的思维和方法,以便能够应对不同主题的设计。

同时,利用MIT设计学院的技术与资源,导师可以将学生的设计作品 3D 打印,让设计不仅仅停留在纸上。

项目特色

麻省理工科研项目的意义

1开发学生的科研职业潜力;

2感受美国顶尖大学学术与科研氛围的同时培养学生跨专业科研与互动;

3证明自己的学术能力

4为学生搭建顶级名校学术以及人脉资源平台

5获得导师推荐信;

6提升英语水平。

课程安排

名校科研项目进程表

Date

Contents

第一周

麻省理工科研项目开始,学生和导师背景交流,初选项目模块。了解所进行的科研项目在研究什么,该项研究和技术在当今社会或者科技公司的地位,对未来社会领域或者科技界的影响,掌握科学研究第一步,文献搜索阅读,如何迅速全面掌握某个专门领域知识,实践操作学术搜索引擎Google Schola,在导师的讲解和带领下,制定详尽的科研计划,进行科学研究。

第二周

查阅文献,学习该项目所需科研工具、实验等并动手操作,向导师进行口头或者书面陈述科研项目推进情况,及时调整修正科研计划以及科研进程,每周有科研周总结。合理协调科研时间,有机会去旁听相关科研项目课程或者会议,进行多角度的学习和补充。

第三周

在导师的带领下深入学习科研实验所需要的理论、实践知识,搜集科研试验数据并进行处理,向导师进行口头或者书面陈述科研项目推进情况,及时调整修正科研计划以及科研进程,每周有科研周总结。合理协调科研时间,有机会去旁听相关科研项目课程或者会议,进行多角度的学习和补充。

第四周

在导师带领下科研项目所需更深入理论知识的学习和实践,科研数据的处理以及科研项目推进结果,在导师带领下进行项目总结,科研项目结束。

 

 

备注:学生赴美后的科研流程与科研内容与校内博士生培养计划高度一致(与美国学术常规一致),内容会由导师根据学生水平做调整;除正常科研内容以外,导师每周进行辅导2-3次,每次2个小时左右;辅导、科研在会议室、实验室、图书馆进行;认真完成的学生,科研组负责预约大学教授面谈学生

费用包含
住宿 费用包含
公寓 学位申请费、注册费、学费、面试费、辅导费;科研费、项目材料费;住宿申请费和住宿费;境外医疗保险费用、接送机费、公证费、行程中统一安排的接待费用、交流费用、游览活动费用。
Homestay 学位申请费、注册费、学费、面试费、辅导费;科研费、项目材料费;住宿申请费和住宿费、周一至周五早晚餐(周末三餐);境外医疗保险费用、接送机费、公证费、行程中统一安排的接待费用、交流费用、游览活动费用。
费用不含
住宿 费用不含
公寓 日常三餐费用、国际往返机票、签证费、个人在海外购物或者自由活动产生的费用、项目期间的公共交通费用等。
Homestay 国际往返机票、签证费、个人在海外购物或者自由活动产生的费用、项目期间的公共交通费用等。
报名条件

118周岁以上全日制在读本科生及研究生,品行端正;

2)英语要求具有CET4或同等水平能熟练运用英文

3)身心健康并且有出国交流的意愿;

4)家庭经济条件许可;

5)能保证按时归来继续学业

 (6有科研经历的学生优先考虑。

关于报名

报名截止日期2019年115日(根据实际情况有所调整,具体请咨询项目办公室)

报名申请方式 

1.项目负责人通过电话或邮件确认个人信息;

2.缴纳项目费、确认正式报名成功; 

3.科研组择优面试(参加项目一概需要安排面试,面试者是赴美后的科研导师,面试不成功则全额退还项目费);

4.面试通过,发送录取书;

5.申请人尽快办理护照并提供护照首页复印件;  

6.学生根据指导准备签证材料,申请签证并购买机票; 

7.出国学习行前指导

8.赴美开始科研;

9.科研结束,完成结题报告或论文,完善科研总结丰富的CVPS履历。

 咨询方式

 项目办公室:咨询电话 :魏老师13265054670  微信号:234680304 毛老师13719166272  

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