phd positions computer architecture

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Computer Architecture & VLSI

You are here, faculty and researchers.

• David Albonesi
• Christopher Batten
• Jose Martinez
• Adrian Sampson
• Adrian Sampson and Team of Cornell Researchers Receive $5M NSF Grant to Tackle Pangenomics Computing Challenge
• Adrian Sampson Wins IEEE TCCA Young Computer Architect Award
• Adrian Sampson's "Advanced Compilers" Made into Open-Source, Self-Guided Online Course
• At 88, Greenberg still on cutting edge with new course
• Gift from Ann S. Bowers ’59 Creates New College of Computing and Information Science

Related Links

• Computer Systems Lab
• CSL Faculty

Research in architecture and VLSI is part of the Computer Systems Laboratory. Computer Systems research at Cornell encompasses both experimental and theoretical work growing out of topics in computer architecture, parallel computer architecture, operating systems and compilers, computer protocols and networks, programming languages and environments, distributed systems, VLSI design, and system specification and verification.

Faculty members with primary interests in the architecture and VLSI area include:

David Albonesi 's research interests include adaptive and reconfigurable multi-core and processor architectures, power- and reliability-aware computing, and high performance interconnect architectures using silicon nanophotonics. In addition to his academic experience, he has ten years of industry experience as a technical manager, computer architect, and chip designer at IBM and Prime Computer .

Christopher Batten 's research interests include energy-efficient parallel computer architecture for both high-performance and embedded applications. He is also interested in parallel programming models, interconnection networks, vector processing, VLSI chip design methodologies, and the intersection between computer architecture and future technologies such as 3D integration and silicon photonics.

Jose F. Martinez is associate professor of electrical and computer engineering and graduate field member of computer science at Cornell. He leads the M3 Architecture Research Group . His research work has earned several awards; among them: two IEEE Micro Top Picks papers; a HPCA Best Paper Award; a NSF CAREER Award; and two IBM Faculty Awards. On the teaching side, he has been recognized with a 2005 Kenneth A. Goldman '71 Excellence in Teaching Award, and as a 2007 Merrill Presidential Teacher. He also organizes the Computer Engineering Lecture Series.

Adrian Sampson designs hardware–software abstractions. His work on approximate computing pairs new computer architectures with new programming language constructs to let programmers safely trade off small amounts of accuracy for large returns in efficiency. Challenges in approximate programming range from information-flow control for safety to probabilistic program analysis and compiler design. Sampson is curious about new ways to safely give programmers control over system details that are ordinarily hidden from view.

G. Edward Suh 's research interests include computer systems in general with particular focus on computer architecture. He is interested in combining architectural techniques with low-level software to enhance various aspects of computing systems such as performance, security, and reliability.

Zhiru Zhang 's research investigates new algorithms, methodologies, and design automation tools for heterogeneous computing systems. Recent research projects focus on the topics of high-level synthesis, hardware specialization for machine learning, and programming models for software-defined FPGAs.

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PhD in Computer Engineering

Northeastern’s PhD program in Computer Engineering offers the opportunity to pursue cutting-edge research in the following areas: computer architecture, parallel computing, fault tolerance, performance analysis and modeling, security, embedded systems, VLSI, algorithms, data mining, testing, machine learning, machine vision and software engineering.

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Innovative Curriculum

Northeastern offers a PhD in Computer Engineering that is completely research-based with minimal and flexible course requirements which can be pursued as full-time or part-time. As a computer engineering student at Northeastern, you will study computer architecture, software engineering, computer-aided design (VLSI), microprocessor-based design, and applied algorithms.

In addition to a broad background in mathematics, physics, and chemistry, this curriculum gives you solid foundation in both hardware and software design. RISC microprocessors, object-oriented Java, and cellular networks are just three of the technologies you will encounter in the program.

In the past ten years, the internet has revolutionized all aspects of our lives, from the way we communicate to the way we do business. Wireless communication, online commerce, medicine, and multimedia are examples of new applications that have transformed our world. Computer engineers developed the fundamental technologies that made the web possible, including high-performance microprocessors, gigabit networks, and object-oriented computer languages. Demand for computer engineers has increased dramatically in recent years. Students with a strong background in computer engineering are aggressively recruited by cutting-edge computer companies nationwide.

The ECE department offers a variety of graduate courses giving students the flexibility in planning their course requirements according to their research requirements and personal interests. Many graduate courses are offered in two sections; in-class and streaming video. Part-time students and full-time students who have schedule conflicts can register in the streaming video sections.

• Northeastern ECE is the host or major partner in nine state-of-the-art research centers
• Financial support available
• Internationally-recognized Internships & Co-op opportunities
• Professional Development Workshop Series to complement the research and classroom experiences
• Northeastern ECE is a research powerhouse in the Boston area and beyond
• An ability to identify, formulate, and solve complex engineering problems.
• An ability to explain and apply engineering design principles, as appropriate to the program’s educational objectives.
• An ability to produce solutions that meet specified end-user needs.
• An ability to apply analytical, numerical, and/or experimental methods to analyze and design complex engineering systems, and to identify, formulate, and solve new challenging computer engineering problems.
• An ability to direct independent scientific research in computer engineering and related fields.
• An ability to formulate new research plans and communicate the research outcomes (both oral and written communication of research results).
• Qualifying exam: Students who already hold an MS degree and matriculate in the fall semester must take the qualifying exam in the spring semester of their first year. Students matriculating in spring semester, or students who hold a BS degree and matriculate in the fall semester , can postpone the exam to the second spring semester. Those who fail the exam the first time, have one more chance to take the exam. These students must take the exam the next spring after their first attempt.
• Research Advisor: Students should have a research advisor one year after their matriculation.
• Thesis Committee: The Dissertation Committee must be formed not later than six months after passing the qualifying exam.
• Comprehensive exam: The deadline for comprehensive exam is two years after passing the qualifying exam.
• Dissertation Defense: The dissertation defense should be scheduled at least one year after taking the comprehensive exam.

Dissertation/Thesis Instructions

The Electrical and Computer Engineering department offers a variety of graduate courses giving students flexibility of planning their course requirements according to their research requirements and personal interests. Many of graduate courses are offered in two sections; in-class and streaming video. Part-time students and full-time students who have schedule conflicts can register in the streaming video sections.

Our graduates pursue careers within academia and beyond.

• Lousiana Tech University
• Draper Laboratories
• National Institutes of Health
• The Mathworks
• Rohan Basu Roy, PhD’24
• Yu Yin, PhD'23
• Alek Razdan, PhD'21
• Murphy Wonsick, PhD'20
• Learn more.
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Experiential Learning

With a large number of high-tech firms in and around Boston, both start-ups and large multinational corporations, many PhD students do an internship during their program while remaining right here in Boston. Often their advisor is instrumental in identifying the internship position, with a funding sponsor or research collaborator, be they in Boston or elsewhere in the United States. Internships can be informally arranged for several months at any time during the calendar year.

PhD students can also take advantage of the more formally arranged co-op program which entails up to 8 months of work experience preceded by several professional development courses to prepare students. The Cooperative Education Program , also known as a “co-op,” is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. Through this program, students gain professional experience, employed in their field of interest as part of the academic curriculum.  Northeastern has more than 3,000 co-op employer partners. Another option for PhD students is the university’s Experiential PhD program.

Academic Advising

The Academic Advisors in the Graduate Student Services office can help answer many of your questions and assist with various concerns regarding your program and student record. Use the link below to also determine which questions can be answered by your Faculty Program Advisors and OGS Advisors.

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Admissions & Aid

Ready to take the next step? Review degree requirements to see courses needed to complete this degree. Then, explore ways to fund your education. Finally, review admissions information to see our deadlines and gather the materials you need to Apply.

• Degree Requirements - Advanced Entry

Student News

2024 Lux. Veritas. Virtus. Inductees

Twenty-three engineering graduate students were inducted into the newly established Lux. Veritas. Virtus. society, a prestigious honor that recognizes exceptional graduate students who exemplify the university’s mission, ideals, and values.

COE Research Expo Displays Promising Work of PhD Students

The College of Engineering held a research expo to highlight the work of PhD students. Participants presented their research to a panel of judges and gained critical presentation and communication skills. They also displayed their research during the poster showcase and students were recognized with awards.

Computer Engineering PhD Student Wins ACM/IEEE CS George Michael Memorial HPC Fellowship

Computer engineering graduate student Rohan Basu Roy, PhD’24, won the prestigious ACM/IEEE CS George Michael Memorial HPC Fellowship for developing performance tools that optimize the performance of HPC applications and make them less resource intensive and more environmentally sustainable.

WIoT Team Wins Best Paper Award at IEEE Globecom 2023

Several College of Engineering faculty and students affiliated with the Institute for Wireless Internet of Things, together with the IMDEA Networks Institute of Madrid, received the Best Paper Award at the IEEE Global Communications Conference (GLOBECOM) 2023.

Northeastern’s PhD program in Computer Engineering offers the opportunity to pursue cutting-edge research in the following areas: computer architecture, parallel computing, fault tolerance, performance analysis and modeling, security, embedded systems, VLSI, algorithms, data mining, testing, machine learning, machine vision and software engineering.

In The News

Unmanned Aircraft Systems

Faster Connections, On the Fly

Professor’s AI Technology Startup Acquired

Northeastern offers a PhD in Computer Engineering (PhDCE) that is completely research based with minimal and flexible course requirements which can be pursued as full-time or part-time. As a computer engineering student at Northeastern you will study computer architecture, software engineering, computer-aided design (VLSI), microprocessor-based design, and applied algorithms.

In addition to a broad background in mathematics, physics, and chemistry, this curriculum gives you solid foundation in both hardware and software design. RISC microprocessors, object-oriented Java and cellular networks are just three of the technologies you will encounter in the program.

In the past ten years the internet has revolutionized all aspects of our lives, from the way we communicate to the way we do business. Wireless communication, online commerce, medicine, and multimedia are examples of new applications that have transformed our world. Computer engineers developed the fundamental technologies that made the web possible, including high performance microprocessors, gigabit networks and object-oriented computer languages. Demand for computer engineers has increased dramatically in recent years. Students with a strong background in computer engineering are aggressively recruited by cutting edge computer companies nationwide.

The ECE department offers a variety of graduate courses giving students flexibility of planning their course requirements according to their research requirements and personal interests. Many of graduate courses are offered in two sections; in-class and streaming video. Part-time students and full-time students who have schedule conflicts can register in the streaming video sections.

• Can be combined with a Gordon Engineering Leadership certificate
• Northeastern ECE is the host or major partner in nine state-of-the-art research centers
• Financial support available
• Internationally-recognized Internships & Co-op opportunities
• Professional Development Workshop Series to complement the research and classroom experiences
• Northeastern ECE is a research powerhouse in the Boston area and beyond
• The ability to use basic engineering concepts flexibly in a variety of contexts.
• Ability to formulate a research plan.
• Ability to communicate orally a research plan.
• Ability to conduct independent research.

With the large number of high-tech firms in and around Boston, both start-ups and large multinational corporations, many PhD students do an internship during their program while remaining right here in Boston. Often their advisor is instrumental in identifying the internship position, with a funding sponsor or research collaborator, be they in Boston or elsewhere in the United States. Internships can be informally arranged for several months at any time during the calendar year, and PhD students can also take advantage of the more formally arranged co-op program which entails 6 months of work experience preceded by several professional development courses to prepare students.

Our graduates pursue careers within academia and beyond.

• Lousiana Tech University
• Draper Laboratories
• National Institutes of Health
• The Mathworks

Application Materials

• Completed online application form
• $100 application fee
• Two letters of recommendation
• Transcripts from all institutions attended
• Statement of Purpose
• TOEFL, IELTS, or Duolingo for international applicants

Application

PhD Priority: December 15

International outside US: June 1

International inside US: July 1

Domestic: August 1

• Program Website

Request Information for PhD in Computer Engineering

Computer Science 152/252: CS152 Computer Architecture and Engineering CS252 Graduate Computer Architecture

Spring 2020, prof. krste asanović, tas: albert ou and yue dai.

Welcome to the Spring 2020 CS152 and CS252 web page. This semester the undergraduate and graduate computer architecture classes will be sharing lectures, and so the course web page has been combined.

CS152 is intended to provide a foundation for students interested in performance programming, compilers, and operating systems, as well as computer architecture and engineering. Our goal is for you to better understand how software interacts with hardware, and to understand how trends in technology, applications, and economics drive continuing changes in the field. The course will cover the different forms of parallelism found in applications (instruction-level, data-level, thread-level, gate-level) and how these can be exploited with various architectural features. We will cover pipelining, superscalar, speculative and out-of-order execution, vector machines, VLIW machines, multithreading, graphics processing units, and parallel microprocessors. We will also explore the design of memory systems including caches, virtual memory, and DRAM. An important part of CS152 is series of lab assignments using real microprocessor designs implemented in the Chisel hardware description language, and running as simulators and FPGA emulators hosted in the Amazon cloud (FireSim) . These simulators will give you an in-depth look at a variety of processor architectural techniques. Our objective is that you will understand all the major concepts used in modern microprocessors by the end of the semester.

CS252 is intended to provide essential background for students intending to pursue research in computer architecture or related fields, and also provides preparation for the Berkeley EECS computer architecture oral prelim examination. An important part of CS252 is reading and discussion of classic architecture papers, as well as a substantial course project.

Course Calendar with Handouts

This page uses the Holy Grail Liquid-Layout: No quirks mode by Matthew James Taylor .

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PhD History of Architecture URBAN-DELTA

23 May 2024 Job Information Organisation/Company KU Leuven Research Field Architecture Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 10 Jun 2024 - 00:00 (UTC

PhD in XCT Based Structural Simulation for Hybrid Architecture Carbon Fibre Composites

architecture composites have attracted growing interests in high-performance automotive and aerospace applications. This project aims to develop an image analysis tool for quantifying fibre orientation and fibre

PhD Candidate: Experimental Approaches to Global Histories of Art and Architecture

specialise in global approaches to the history of art and architecture : Prof. Scott Nethersole, Dr Sonia de Laforcade and Dr Matthew Mullane. The project will be funded by a Starters Grant from the Faculty

PhD Position: Software Architecture for Neuro-Symbolic AI

in the field of software architecture for neuro-symbolic AI. The project will investigate how this unique combination of deep learning and symbolic reasoning AI methods influences important

Doctoral scholarship holder methodology for assessing the perception of space in interior architecture through 3D digital tools

who would like to work on defining a methodology for assessing the perception of space in interior architecture through 3D digital tools. The goal of this PhD is to craft a methodology for digitally

PhD Networks of Care: The Architecture of Future Healthcare Environments

PhD Networks of Care: The Architecture of Future Healthcare Environments PhD Networks of Care: The Architecture of Future Healthcare Environments Published Deadline Location yesterday 26 Jun Delft

technologies. While these data technologies primarily focus on the human body, the evolution of healthcare environments must also be rooted in innovative architectural design. For instance, integrating advanced

also be rooted in innovative architectural design. For instance, integrating advanced sensor networks not only enhances operational efficiency but also significantly improves the overall patient

PhD student in Architecture

education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå School of Architecture (UMA) is looking for a PhD student in Architecture . The application deadline is 28

PhD Scholarship- ARC Centre for Next-Gen Architectural Manufacturing

Research Council (ARC) Industrial Transformation Training Centre for Next-Gen Architectural Manufacturing, led by University of New South Wales. To meet critical sustainability goals, the Architecture

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CIS - Open Positions: PhD Position/Scholarship

The Computational Imaging Systems Department at the CACE Institute of the Faculty Computer Science, Electrical Engineering and Information Technology offers:

PhD Positions/Scholarships – Construction of intelligent imaging systems based on AI and deep learning - remuneration up to 57.000 € p. a. (no tuition fees for PhD programs)

The Department of Computational Imaging Systems deals with the construction of 3D imaging systems based on artificial intelligence (deep learning) which has been proven to be very successful in the field of computer vision. The mechanical construction of these systems is based on mechanical components like precision stages with an accuracy in the single digit micrometer or even in the nanometer range. For one setup the usage of a modern human-collaborative robot to move light source and detectors is planned. These intelligent imaging systems are based on the use of novel neural network architectures for computed tomography. Building such novel imaging systems requires the interest and ability of the respective candidate to work on the mechanical and electrical design of such systems as well as the programming of neural networks to improve the overall image quality. This call is open to master’s graduates or graduates with equivalent qualification worldwide.

• PhD and expertise development in the field of construction of imaging systems based on high precision mechanical construction and artificial intelligence, an interdisciplinary and high-quality task environment
• Motivation and enjoyment of your work due to the immediate visibility of your contributions in 3D imaging, appreciation of your results by our partner institutes and industry as users of your 3D imaging algorithms and data
• Positive working atmosphere and integration into the international working group, contribution of your strengths and ideas, cooperative and self-organized way of working
• Participation in international conferences financed by the university and development of a professional network
• High potential for a further international career in science or industry in the above field, possibility for further qualification as a postdoc

Your responsibilities

• Design and physical realization of imaging systems including the mechanical setup, compensation of mechanical inaccuracies by 3D imaging corrections based on novel neural network architectures
• Building and exploring novel intelligent imaging systems and validating them with user data from academia and industry
• Publication of research results as well as discussion and initiative to pursue new research questions
• Cooperation with users and applications of the imaging systems in science and industry in the context of novel questions

Your qualification profile

• You have completed your master's degree in computer science, electrical engineering, software engineering, physics or a similar course of study and you are interested in working independently
• You are able to learn software programming languages like Python, C++, etc. and to implement your algorithms accordingly
• You should have the interest to validate your contributions in the field of intelligent imaging (algorithms, software, and imaging set-ups) on real imaging systems
• Your English skills enable you to communicate in a scientific environment, you enjoy working in an international team

The University of Stuttgart has a policy of gender equality and therefore particularly encourages qualified women to apply. Disabled persons are given preferential consideration in the case of equal qualification. Please send your application as an email to the following address with the subject "application cis-ai":

Email: [email protected] .de and cc [email protected]

For general inquiries, please contact Mr. Timo Schweizer (secretary's office) by phone at +49-711-685-88390 or Professor Simon at +49-711-685-88450 for questions regarding the content of the advertised position.

Department of Computational Imaging Systems at the CACE Institute of the Faculty Computer Science,  Electrical Engineering and Information Technology Prof. Dr. S. Simon Universitaetsstr. 38 D-70569 Stuttgart Germany

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• Department of Architecture
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Research & Innovation

The Department of Architecture lists a plenty of ongoing research and development projects. The number of registered doctorates – currently more than 160 – is very high in comparison with other german schools of architecture. In terms of research reputation and performance, the department is one of the leaders in the field of German architectural education. The third-party funding income of the Department of Architecture is among the TOP 5 in Germany in all categories (5.5 million euros total income in 2018).

Research Topics and Projects

• Digital Methods for the Built Environment (LOC)
• Conservation and Rebuilding of Architecture (REUSED)
• Timber Architecture (TUM.wood)
• Human Centered Design for Technology
• Digital Construction
• Robust Optimization in Building Design / Simple Construction
• Resource-efficient Construction (ZNB)
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Doctoral Studies

Prospective and current doctoral candidates can find all essential information at the Graduate Center of Engineering and Design. more

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The TUM School of Engineering and Design promotes young researchers and supports next steps in academic careers – from doctorate to professorship. more

Design Factory

The Design Factory is a hub connecting research, teaching and implementation of architectural and design-based projects at the Department of Architecture. more

BauHow5 Research Alliance

TUM Department of Architecture is part of BauHow5, an alliance of five leading research intensive European universities in Architecture and the Built Environment. more

New European Bauhaus Partnership

The Technical University of Munich (TUM) with its Department of Architecture and its affiliated institute UnternehmerTUM, teamed up for becoming official partners of the New European Bauhaus Initiative (NEB). more

Venture Lab Built Environment

All about Architectural Entrepreneurship:  The TUM Venture Lab Built Environment is the central platform for young entrepreneurs developing technologies and solutions for the urbanity of the future.  more

Lifelong Learning

The TUM Institute for LifeLong Learning offers a wide range of education programs for executives & professionals, TUM employees and students. more

Open Research 

Up to date publication practice and academic identity management: We want to create and access knowledge free of charge, digitally, systematically, sustainably, self-determined and together. more

Dimensions. Journal of Architectural Knowledge

A newly established peer-reviewed, academic journal in, on and from the discipline of architecture. Established by members of the Department of Architecture in the context of BauHow5.  more

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Doctoral scholarship holder methodology for assessing the perception of space in interior architecture through 3D digital tools

Let’s shape the future - University of AntwerpThe University of Antwerp is a dynamic, forward-thinking, European university. We offer an innovative academic education to more than 20000 students, c...

PhD Researcher in the field of Early Modern Art and Architecture

1 - Working at the VUBFor more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and solidarity, and this is very much alive on our campuses among students and staff alike.  At the VUB, you will find a diverse collectio...

PhD Position in Digital Identities for Regenerative Materials

PhD Position in Digital Identities for Regenerative MaterialsThe Chair of Circular Engineering for Architecture (CEA) at ETH Zurich is seeking a highly motivated and qualified individual to fill a ...

Full-time research and teaching assistant position in architectural engineering - Brussels school of engineering

Référence : 2024/S232Date limite du dépôt des candidatures : 31/05/2024 Date d’entrée en fonction prévue le : 01/10/2024Job DescriptionLocated in the heart of Europe, in a dynamic area, the Brussels School of Engineering offers a multicultural, fr...

PhD on safety and sustainability in bio-based composites' structural design

Are you interested in sustainable structural design to reduce the CO2 footprint of buildings? Are you passionate about bio-based composite material systems and want to enhance their use in architecture? Then you may be an excellent candidate for t...

PhD History of Architecture URBAN-DELTA

The Department of Architecture is an international centre of expertise in architecture, urbanism & spatial planning, architectural theory and history. The PhD student will be part of the research g...

PhD in Decision support methods to foster regenerative construction solutions and increase resilience of vulnerable and underserved communities

PhD in Decision support methods to foster regenerative construction solutions and increase resilience of vulnerable and underserved communitiesJoin our research team at ETH Zurich in a project desi...

Doctoral Fellowship for design driven research on Hybrid Gardenbuildings

The Department of Architecture is part of the Science and Technology Group at the KU leuven and coordinates the research on Interior Architecture, Architecture and Urbanism and Spatial Planning at ...

PhD Researcher in Identification for Circular Construction

PhD Researcher in Identification for Circular ConstructionThe PhD Researcher will be an integral part of the research team working on the project "Intelligent Circular Construction" aimed at advanc...

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