邢唷>  欹 vRbjbj♂♂.8脣脣OJ& (((8`(昺"NNNmmmmmmm$]psT:mNNNNN:m4Omr&r&r&Nmr&Nmr&r&2榏8Hb? ,P!衉.mem0昺Jcs! cs\HbHbhcs癳PNNr&NNNNN:m:m$NNN昺NNNNcsNNNNNNNNN , : 2016 Stanford SoE UGVR Program Position Descriptions Professor抯 NameZhenan Bao Department Chemical EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?) One or more of the following: organic synthesis, device fabrication and characterization, thin film characterization, electronics system integration, software modification. Desired Skills & Background One or more of the following: chemistry, chemical engineering, material science and engineering, electrical engineering Would you like to conduct a phone interview with the students? MaybeProfessor抯 NameWilliam C. Chueh Department Materials Science and EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?)The student will work on elucidating fundamental materials behavior in electrocatalysis for the conversion of sunlight, H2O and CO2 to chemical fuels, and from chemical fuels to electricity. In particular, the students will synthesize new compounds and utilize advanced electron and X-ray microscopy and spectroscopy techniques to uncover the never-before-seen dynamics of electrocatalysts. Desired Skills & BackgroundThe candidate should have a strong interest towards research in materials for energy conversion and storage, and demonstrate curiosity for fundamental problems in batteries, fuel cells, and photoelectrochemical cells. Candidate should have a proficient background in general materials chemistry and solid-state physics. Would you like to conduct a phone interview with the students?YesProfessor抯 NameYi Cui Department Materials Science and EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?) Title: Nanostructures for Energy Conversion and Storage Description: This project involves designing, synthesizing, characterizing inorganic nanostructured materials for next generation of energy conversion and storage devices. The devices might include batteries, electrocatalytic water splitting and thermo energy conversion.Desired Skills & Background Students with background in Chemistry, Physics, Materials Science, Chemical Engineering or Electrical Engineering are considered. Would you like to conduct a phone interview with some or all of the applicants?  Not necessaryProfessor抯 NameReinhold Dauskardt Department Materials Science and EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?) Nanomaterial Thin Films for Emerging Technologies - project will involve studies of the thermomechanical properties including adhesion and cohesive strength of new classes of hybrid organic-inorganic material films. Desired Skills & BackgroundMaterials, Physics or Chemistry background with experimental or computational modeling aptitude. Would you like to conduct a phone interview with some or all of the applicants? No.Professor抯 NameCharles Eesley Department Management Science and EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?)The work will involve collecting, organizing and analyzing data on entrepreneurial firms. This could include data from China, Tsinghua Alumni survey or the Stanford Alumni survey. We will also look at the research literature on entrepreneurship and institutions or university factors. Desired Skills & BackgroundStatistics, data analysis, social science Would you like to conduct a phone interview with some or all of the applicants? NoProfessor抯 NameStefano Ermon Department Computer ScienceUGVR Position Description (e.g. what is the type of project you have in mind for the student?)The student will work on an ongoing research project on statistical machine learning, under the supervision of the faculty member and graduate students in the lab. Summer work of visiting undergraduate students often results in a conference publication. Desired Skills & BackgroundStrong analytical and implementation skills background in basic probability theory, statistics, programming, algorithm design and analysis Prior research experience preferred but not necessary Excellent communication skills Would you like to conduct a phone interview with some or all of the applicants? NoProfessor抯 NameJonathan Fan Department Electrical EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?)I am interested in theoretically investigating the optical properties of two metallic particles when they get very close to each other (1nm or less). In particular, I would like to develop quantum plasmonics models and match the findings to ongoing experiments in my labDesired Skills & BackgroundGenerally, an understanding of quantum mechanics and optics. More specifically, a background in nano-optics, plasmonics, optical simulations (FEM or FDTD), and quantum-based simulations. A really capable student can pick some of this up.Would you like to conduct a phone interview with some or all of the applicants? YesProfessor抯 NameRonald Fedkiw Department Computer ScienceUGVR Position Description (e.g. what is the type of project you have in mind for the student?)The visiting student in our lab will be working on real-time physics simulation systems using PhysBAM on both Android devices and desktop machines, with rendering support from the Unity game engine. The student will participate in developing new interactive physical simulation techniques (e.g. for deformable bodies, rigid bodies, articulation, fracture, etc.) and building an interactive simulator for trees (and other plants) using these techniques. Desired Skills & Background Professional programming skills in C/C++, Java, OpenGL, OpenGL ES, GLSL, Linux/Windows, Android app development, and Unity game development. Sufficient background in computer science (especially computer graphics), numerical math, and physics.Would you like to conduct a phone interview with some or all of the applicants? YesProfessor抯 NameLeonidas Guibas Department Computer ScienceUGVR Position Description (e.g. what is the type of project you have in mind for the student?)This is a project at the intersection of computer graphics, computer vision, and artificial intelligence. It will involve large repositories of 3D models and 2D images and their semantic annotations. The goal is to construct networks for the transport of semantic information (parts, symmetries, keywords, functionality) among the models and between model and images. This in turn can enable improved 3D recognition and reconstruction as well as tasks like high-level planning. Desired Skills & Background Exposure to linear algebra, optimization, and machine learning. Coding (Matlab, C/C++) skills. Would you like to conduct a phone interview with some or all of the applicants? Yes Professor抯 NameKerwyn Casey Huang Department BioengineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?)Bacteria biofilms have recently been found to communicate across long distances using ion channel signaling causing waves of depolarization in membrane potential. Additionally, membrane potential oscillations in individual cells have been correlated to ion channel signaling in biofilms. The student will use microscopy, image anlaysis, and genetics to identify mutants that exhibit varying patterns of membrane potential. This project would combine basic microbiology skills such as bacterial cell culture and with state-of-the-art imaging techniques and image analysis tools. Any membrane potential mutants would be further characterized in biofilm ion channel signaling.Desired Skills & Background Bacterial cell culture, programming in Matlab, bacterial genetics knowledge cloning, phage transduction, etc. Would you prefer an interview with the students? YesProfessor抯 NameMichael Lin Department BioengineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?)The student will perform a project involving protein engineering applied to the study of neuroscience. Our lab has recently pioneered the development of optically controlled proteins that are cofactor-independent and self-reporting. We also have recently created a class of fluorescent indicators of transmembrane voltage with high performance. The student will carry out an independent project involving the design and building of either light-controllable signaling proteins or transmembrane voltage-sensing reporter proteins, and their testing in neurons. Desired Skills & Background The ideal applicant would have a solid understanding of protein biochemistry and would be comfortable with basic concepts of physical and organic chemistry. He or she should have extensive lab experience with protein analysis. Experience with molecular cloning and microscopy would also be useful. Would you prefer an interview with the students? Yes.Professor抯 NameAyfer Ozgur Department Electrical Engineering UGVR Position Description (e.g. what is the type of project you have in mind for the student?)Recent developments in physical technologies for energy harvesting allow us to build wireless devices that can harvest the energy they need for communication from the natural resources in their environment or be powered remotely by wireless energy transfer. By eliminating bulky batteries, decoupling node deployments from the power grid, and allowing wireless nodes to operate potentially forever in a maintenance-free manner, energy harvesting wireless systems enable many exciting deployment models and applications, ranging from in-body and personal health monitoring, to smart homes and transportation systems, to automation and monitoring in smart grids, to bringing connectivity to rural and underdeveloped areas.However, energy harvesting also brings a fundamental shift in communication system design principles. 營n conventional systems, energy is a deterministic quantity continuously available to the transmitter and transmission is constrained only in terms of average power. In a harvesting system, energy generation can be slow, unpredictable and fluctuate significantly over time.燭he communication system should now be designed by taking this random energy dynamics into account. In this project the student will investigate the information, coding and network theoretic foundations for communication system design under such random energy dynamics. The project will be theoretical in nature and will involve designing communication schemes for such systems and analyzing their performance and fundamental limits. The student will have the opportunity to familiarize himself/herself with information and coding theory, Markov Decision Processes and Dynamic Programming and learn the latest research developments in these areas related to energy harvesting systems. Desired Skills & BackgroundThe student should have strong mathematical background and strong interest in theoretical work. A strong background in probability and stochastic processes is especially desired. Background in wireless communication and information theory is good to have but not required. Would you like to conduct a phone interview with some or all of the applicants? Yes  Professor抯 NameDebbie Senesky Department Aeronautics and Astronautics UGVR Position Description (e.g. what is the type of project you have in mind for the student?)Two candidate projects are listed below. Please note that only one student would be selected to conduct one of the projects in the end.Project 1:Long-term Stability of High-Temperature Metal Contacts to Gallium Nitride ElectronicsIn order to tap the full potential of wide bandgap semiconductors (e.g., GaN and SiC) at high temperatures, it is crucial to ensure low resistance contacts that are stable at elevated temperatures. Unfortunately, contacts are the first to break down in air at temperatures much below the theoretical limit of the semiconductor. The goal of this project is to perform long-term reliability study of different metal contact structures to GaN at high temperatures. This will support the vision of electronics that can operate at temperatures beyond 600degC.Project 2:Inkjet printing of CO2-sensitive nanomaterials for environmental sensing applicationsNanomaterials, with large surface areas, promise higher sensitivity and faster response speed than conventional thin films. Precision deposition of nanomaterials with desired properties (e.g., density, uniformity, shapes) on semiconductor sensor platforms is critical to the manufacturing of micro smart chemical sensors for environmental and industrial monitoring. Inkjet printing, a drop-on-demand deposition technology that has been used to fabricate electronic elements on flexible substrates, can be used to deposit unique nanomaterials that are difficult to deposit and pattern with conventional fabrication techniques. In this project, the student will develop and demonstrate a nanomaterial ink recipe and printing process for micro-scale gas sensors with the potential of scaling up to mass production. Desired Skills & BackgroundFor Project 1:Background in Material Science/Electrical Engineering/Mechanical Engineering with experience/interests in materials characterization and device fabrication experiments. Atomic modelling of materials (DFT, MonteCarlo, Molecular Dynamics) is a plus (although not necessary). Fast learning and self-motivated is also preferred.For Project 2:Material science/chemical engineering/electrical engineering/mechanical engineering background, material/chemical laboratory skills, basic knowledge of semiconductor physics, basic knowledge of circuits, basic knowledge of micro-scale sensors and sensing principles, basic knowledge of nanostructured materials, fast learning, self-motivated. Would you like to conduct a phone interview with some or all of the applicants? Yes Professor抯 NameSindy KY Tang Department Mechanical Engineering UGVR Position Description (e.g. what is the type of project you have in mind for the student?)The overall goal of the project is to develop an automated microfluidics platform for the rapid detection of pathogens and profiling of antibiotic resistance. The project involves fabrication of highly parallelized microfluidic system for high throughput generation of droplets and encapsulation of cells, and prototyping of a portable CMOS-based platform for automated interrogation of drops. We also aim to increase the detectable signal-to-noise of the method by incorporating spatial phase mask. Desired Skills & BackgroundMatlab, Labview, microfluidics, soft lithography (PDMS), some knowledge of optics and imaging Would you like to conduct a phone interview with some or all of the applicants? Yes Professor抯 NameDavid Tse Department Electrical EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?) Data Science for High Throughput SequencingHigh throughput sequencing has revolutionized biology and medicine in the past decade. There are many interesting algorithmic and statistical problems for such sequencing data our group works on, including assembly, quantification, haplotype phasing, high-dimensional feature selection and phenotype prediction. We take an information theory approach to the design of efficient algorithms for these problems. The UGVR student抯 research can span from theory to software implementation, depending on interest. Desired Skills & BackgroundStrong analytical background and some coding experience. But most importantly motivation to learn new things and drive to succeed. Would you like to conduct a phone interview with some or all of the applicants? YesProfessor抯 NameH.-S. Philip WongDepartmentElectrical EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?)Research in the circuit design and fabrication of computing systems comprised of spin-based memory (magnetic random access memory), carbon nanotube transistors, and 2D material (MoS2) transistors. Will involve circuit simulations (e.g. SPICE) to predict and design the circuits. One example is designing a sense amplifier circuit made out of carbon nanotube transistors to accurately measure the voltage state of the magnetic memory. The student can also help with the fabrication and testing of the devices.Desired Skills & Background A strong background in electrical engineering, applied physics, and physics fundamentals. Willing to learn new circuit programming methods, with basic programming skills. Experimental skills in materials characterization and device fabrication. Willing to be self-driven. Good communication skills.Would you like to conduct a phone interview with some or all of the applicants?Yes Professor抯 NameTsachy WeissmanDepartmentElectrical EngineeringUGVR Position Description (e.g. what is the type of project you have in mind for the student?)The project will involve the development of theory and algorithms for data compression, processing, and prediction.Desired Skills & Background Strong affinity to mathematical aspects of EE, CS, and Statistics. High ability and motivation for independent study of background material for the project. Background in Statistical signal processing, and/or Stochastic processes, and/or Information theory, and/or machine learning is not a requirement, but would be an advantage. Proficiency in and motivation for computer programming.Would you like to conduct a phone interview with some or all of the applicants?Possibly. Professor抯 NameFan YANG Department Bioengineering and Orthopaedic SurgeryUGVR Position Description (e.g. what is the type of project you have in mind for the student?)The student will work directly with Prof. Yang and a senior member of the Yang lab (e.g. postdoctoral fellow) on developing novel biomaterials to regulate stem cell differentiation or tissue regeneration. We work at the interface of materials science, stem cell biology, engineering and medicine. We are interested in developing 3D cell-instructive materials to promote desirable cellular fate processes, or deliver therapeutics in a controlled manner to guide desired tissue regeneration. Desired Skills & BackgroundPassionate, inquisitive and dedicated individual desirable. Good oral and written communication skills in English. Prior research experience in one or more of the following areas would be a plus: biomaterials, controlled drug delivery, stem cells, tissue engineering. Would you like to conduct a phone interview with the students? 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