21 faculty engineering electrical jobs found in Cambridge, MA

School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Electrical Engineering/ Applied Mathematics/ Computer Science Position Description Professor Na Li’s group and Professor Heng Yang’s group in the School of Engineering and Applied Sciences (SEAS) at Harvard University seek motivated postdoctoral fellows with a Ph.D. in electrical engineering, computer science, applied mathematics, or any related field. Candidates who have a strong mathematical background in machine learning, reinforcement learning, optimization, control, computer vision, robotics are preferred. Candidates will perform research on learning, optimization, estimation, and control of robotics and autonomous systems with a focus on theory development, algorithm design, performance analysis, and real-world deployment. Candidates have the opportunity to work closely with either PI Li, or PI Yang, or both PIs, as well as the graduate students and...

Position Description     Project Deep learning plays an essential role in the operation of an autonomous vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and other advanced driver assistance systems (ADAS) sensors. These sensors generate a vast amount of data concurrently, which need real-time processing (latency-bound throughput) for vehicle safety. A crucial challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators), integrate it with the...

Title Postdoctoral Fellow in Artificial Intelligence for Dynamics and Control School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Electrical Engineering/Statistics/Applied Mathematics Position Description The Harvard branch of the AI Institute in Dynamic Systems invites applications for a postdoctoral fellowship in the multidisciplinary study of AI for dynamics and control, and in particular the safety, robustness, and scalability of reinforcement learning algorithms, and/or the learning of physically interpretable models of dynamic systems from data. The candidate will have opportunities to work collaboratively with a group of faculty from Electrical Engineering and Applied Mathematics (Na Li), Statistics and Computer Science (Lucas Janson), and Applied Mathematics and Applied Physics (Michael Brenner) on fundamental AI and machine learning theory, algorithms, and applications for real-time...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. LECTURER ,  Electrical Engineering and Computer Science (EECS) , to perform the duties of a lecturer, with a focus on analog, digital, and mixed-signal electronic circuits and systems.  There will be full-time participation in educational activities during the academic terms (fall, Independent Activities Period (IAP), and spring).  Course assignments will include some of the following and may include other related courses: Electrical Circuits: Modeling and Design of Physical Systems, Analog Electronics Laboratory, Digital Systems Laboratory, Introduction to Electronic Circuits, Solid-State Circuits, and Medical Device Design.  Responsibilities include interacting with students (e.g., lecturing, leading recitations, or staffing lab and office hours); participating substantial one-on-one, hands-on mentoring of student laboratory projects;...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. DIGITAL LEARNING LAB FELLOW, ARTIFICIAL INTELLIGENCE AND DECISION MAKING (AI+DM) ,  Electrical Engineering and Computer Science (EECS) , to oversee and lead the running of one or more of the AI+DM courses that comprise the MicroMasters program. Responsibilities include contributing to the development, revamping, and management of AI+DM MicroMasters courses (which span probability, statistical data analysis, machine learning, optimization, game theory, and computer vision), managing course materials and related content; designing, building, and optimizing learner assessment tools (e.g., problem sets and exams); overseeing and managing live courses, including key aspects of learner communication, performance tracking, and online exam administration; leading teaching assistants and community teaching assistants in facilitating instructive, productive...

Position Description     The John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics at Harvard University seeks applicants for four postdoctoral fellow programs in Computer Science. Michael O. Rabin Postdoctoral Fellowship in Theoretical Computer Science The John A. Paulson School of Engineering and Applied Sciences at Harvard University (SEAS) seeks applicants for the Michael O. Rabin* Postdoctoral Fellowship in Theoretical Computer Science. The normal duration of the Rabin Fellowship is two years. Rabin Fellows will receive a generous salary as well as an allocation for research and travel expenses. We are looking for junior scientists in theoretical computer science, broadly construed. Rabin Fellows will be provided with the opportunity to pursue their research agenda in an intellectually vibrant environment with ample mentorship. While interaction with Harvard faculty, students, and visitors is encouraged, Rabin...

Position Description     The Loncar Group is looking for a postdoctoral fellow with expertise in nanofabrication, integrated optics, nonlinear optics, and microwave photonics. The candidate will focus on design, fabrication, and characterization of chip-scale photonic devices and systems, and their application in microwave photonics. Basic Qualifications     Ph.D. in Electrical Engineering, Applied Physics or Physics is required Additional Qualifications     Strong background and interest in nanofabrication, including development of novel nanofabrication strategies. Expertise with building optical setups, lasers, electronics, including microwave electronics Excellent interpersonal and mentorship skills and ability to interact with a diverse team Special Instructions     Application requirements include a CV with publications and a minimum of two reference letters. SEAS is dedicated to building a diverse and welcoming community,...

Position Description     Join us as a postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to provide inferential tools. The successful applicant will be expected to develop an innovative research program in sequential decision making. Our lab is involved in a number of digital health studies in obesity, cardiac health, physical activity, mental illness and substance abuse across the world. The appointment will be for up to three years with annual renewal based on satisfactory performance and continued availability of funding.  Basic Qualifications     Ph.D. in Statistics, Computer Science, Operations Research, or Electrical Engineering at time of appointment is required.  Additional...

Position Description     The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks a talented, creative, and enthusiastic individual to help design, build, and support life-changing technologies for rehabilitation and human performance enhancement. This Fellow will contribute to the design and fabrication of electromechanical assemblies, help teams test prototypes for functionality and usability with target audiences, and contribute to program planning and promotion. Basic Qualifications     B.S. in Mechanical, electrical engineering or a related filed and 2 years of experience in product development and/or research. Advanced education may count toward experience.  Additional Qualifications     The ideal candidate will have the following additional qualifications: Excellent written and verbal communication skills. Strong organizational skills, creativity in problem solving, and high self-motivation are key to...

Position Description     Four postdoctoral positions in the Materials Intelligence Research group of Prof. Boris Kozinsky at Harvard University are open to develop and apply first principles and machine learning methods for computational materials physics and chemistry. Applications include investigation and design of catalysts, soft materials, energy conversion and storage materials, power electronics and thermoelectrics. The desired technical qualifications are experience with DFT or quantum chemistry calculations, method development and implementation of high-performance scientific software, with GPU capability, machine learning methods and automated computing workflows. Education requirement: PhD in Physics, Chemistry, Materials Science or related fields. Projects include: 1. Machine learning methods for large scale molecular dynamics. We are developing equivariant neural network models NequIP and Allegro for interatomic potentials, that advance the state of the...

Position Description     Multi-omic studies towards the identification of robust biomarkers for Post Traumatic Stress Disorder. The aims of this Army-funded study are identifying, validating and characterizing blood-based diagnostic biomarkers for post-traumatic stress disorder (PTSD). Harvard is part of a collaborative consortium of researchers that includes NYU, UCSF, Mt. Sinai School of Medicine, the Institute for Systems Biology, and the Army Center for Environmental Health Research. At Harvard, the team continues to work on (i) optimizing the panel of heterogeneous (multi-omics) markers for diagnosing PTSD, (ii) identifying dysregulated subnetworks that are related to glucocorticoid receptor regulation and Fc epsilon R1 signaling in PTSD based on changes in DNA methylation patterns, (iii) constructing, validating and characterizing polygenic risk profiles for PTSD, and (iv) identifying mechanisms underlying metabolic dysfunction in PTSD with a network based...

Position Description     Harvard University’s Assistive Technology Initiative has an immediate opening for an entrepreneurial research fellow to coordinate and lead a project at the intersection of wearable sensing, controls, neurophysiology, movement science, and clinical rehabilitation. The position will involve work underway at the Harvard Biodesign Lab (https://biodesign.seas.harvard.edu), Harvard Biorobotics Lab (http://biorobotics.harvard.edu/), and major Boston-area hospitals with a focus on human sensation quantification (electrical stimulation, haptics) used to assess recovery from neurological impairments and disease progression. The research fellow will work as part of a highly multidisciplinary team with backgrounds in engineering, biomechanics, rehabilitation science, neurology, and clinical practice. The successful candidate will contribute to the development of new technology, evaluate the technology with human participants in state-of-the-art...

Position Description     The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for full-time Postdoctoral Fellows with the SEAS Learning Incubator. The mission of the SEAS Learning Incubator is innovation of educational pedagogy in engineering and/or science. The position requires a combined expertise in a specific scientific discipline with in-depth knowledge of teaching methods and research on learning. The postdoctoral fellows will collaborate with SEAS LInc Faculty Fellows to develop and implement course transformation (design/ redesign of an existing course of design of a new course), as well as provide background research on teaching and learning; identify evidence based educational practices; and design assessment instruments to measure learning and gather comprehensive data on student learning and thinking. Expected responsibilities include: • Develop learning objectives, assessment instruments, and pedagogical...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. MIT POSTDOCTORAL ASSOCIATE, BRAIN STIMULATION AND RECORDING IN-VIVO IN MICE ,  Media Lab  (multiple openings), to develop extremely miniaturized micro-nano-devices that probe and modulate our biological system especially the brain  Will configure and implement these devices for brain stimulation and recording, characterize and validate the devices in cultured neurons, inject or implant the devices in mouse brain or peripheral nervous system (PNS), characterize and validate the devices in-vivo in mice, and perform brain stimulation and/or recording. Additional information is available at https://web.mit.edu/deblina-sarkar/brainstimulationandrecording.html. A full job description is available at https://www.media.mit.edu/about/job-opportunities/.   Job Requirements REQUIRED :  Ph.D. in bioengineering, neuroscience,...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. POSTDOCTORAL ASSOCIATE, BIOMECHATRONICS ,  Media Lab , to conduct research into the mechatronic design of computer-controlled leg prostheses, including ankle-foot and knee prostheses. Will conduct research on the design, development, and evaluation of novel prosthetic leg technologies, including mechanical, electrical, control, and industrial design aspects; design and implement research projects, gathering and analyzing data, designing research protocols, documenting research results, and publishing research outcomes; assist with the preparation of patent documents, reports to sponsors, and grant proposals; attend Biomechatronics Group research meetings and invite relevant speakers to present to the group; support/mentor Ph.D. and master’s graduate students; and engage in discussions and be available for questions.  A full job description...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. TECHNICAL ASSOCIATE I, HELDT LAB ,  Institute for Medical Engineering and Science (IMES) , to join a dynamic team of MIT investigators in a lab that focuses on data acquisition, signal processing, and mathematical modeling of physiological systems to support real-time decision making and monitoring of disease progression.   Responsibilities include collecting data from human subjects, abstracting data from questionnaires into coded format, maintaining experimental logs and human subject protocols, and merging heterogeneous data elements into a unified database; preprocessing, archiving, auditing data, and analyzing data using standard software packages and custom-made algorithms; supporting experimental and analysis design to developing technologies for improved data mining; recording, summarizing, and documenting findings; coordinating multiple...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. POSTDOCTORAL ASSOCIATE ,  Haystack Observatory , to work closely with radio science researchers on the investigation and development of novel signal processing and computational techniques for sensing and mitigating radio frequency interference.  The goal of this work is to enable geospace and astronomy sensors to remain robust and operational in current and future interference environments.  Will help develop innovative estimation techniques to identify, characterize, and remove interference sources.  This will involve the exploration and development of novel approaches to approximate adaptive signal cancellation and the analysis of data collected with software radio systems from Haystack Observatory sensors.  This project is well suited to a postdoctoral researcher interested in exploring areas of applied mathematics, space science, and...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. TECHNICAL ASSOCIATE 2 ,  Research Laboratory of Electronics (RLE)-Photovoltaic Research Laboratory (PV Lab) ,  to perform mechanical duties on high-throughput liquid synthesis, materials fabrication, characterization, and performance measurement. Will work with lab researchers on fabricating solar devices, developing experiment protocols, co-supervising junior team members, and leading the lab’s fabrication facilities. Duties include every aspect of the research life cycle.  Responsibilities include managing experimental data collection; designing and conducting experiments in a wet lab, including thin-film deposition and solar cell fabrications; supporting team members and a range of research projects and developing experimental procedures into scalable prototypes; performing structural, optical, and electrical characterizations of thin-film...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. POSTDOCTORAL ASSOCIATE , Nuclear Reactor Laboratory, to join the MIT Research Reactor (MITR), the primary experimental facility of the Nuclear Reactor Laboratory and one of five U.S High-Performance Research Reactors. The Center for Reactor Instrumentation and Sensor Physics (CRISP), physically located within NRL, is a joint Idaho National Laboratory (INL) and MIT center whose mission is to advance the current state of instrumentation and controls in nuclear systems by developing foundational technologies. CRISP connects experts from diverse organizations to devise novel solutions for sensing and tests these systems under irradiation. Will participate in CRISP research and support a diverse set of complex problems in sensing and measurement of critical quantities in harsh environmental conditions. Specifically, will be instrumental in implementing existing...

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting. INSTRUCTOR, ENERGY IN GLOBAL DEVELOPMENT ,  MIT D-Lab , to co-teach EC.711/EC.791/2.651 Introduction to Energy in Global Development (part-time, 50%), a class focused on surveying energy technologies in an international development context.  Students in this class review principles of thermodynamics in the context of renewable energy. The class focuses on compact, robust, low-cost systems for meeting the needs of households and small businesses; and provides an overview of identifying user needs, assessing the suitability of specific technologies, and strategies for implementation in developing countries.  Undergraduate students are from all majors and graduate students are accepted, so instructors are expected to convey material in a manner accessible to students of diverse backgrounds and skill levels. In addition to lectures, will co-lead...