phd position in computer architecture

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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
• Murphy Wonsick, PhD'20
• Alek Razdan, PhD'21
• Learn more.
• Related Research Centers and Institutes
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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.

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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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Ph.D. in Architecture

• About Architecture
• Building Science, Technology, and Sustainability

History, Theory, and Society

The Ph.D. in architecture is a research degree appropriate for those seeking careers in teaching and scholarship in architecture and its related areas, or in roles in government or professional consultation that require depth in specialization and experience in research.

The Program

Berkeley’s Ph.D. program in architecture is interdisciplinary in outlook, reaching into the various disciplines related to architecture and incorporating substantial knowledge from outside fields. Students admitted to this program carry out a program of advanced study and research, both on the basis of formal class work and of individual investigation. Work centers on three related fields of study, the major field (the basis for the dissertation), and one-to-two minor fields, at least one of which must be from a discipline outside architecture.

Fields of Study

The Ph.D. degree emphasizes course work and supervised independent research in one of the following areas of study:

• Building Science, Technology and Sustainability (BSTS)
• History, Theory and Society (HTS)

Major fields outside these fields or combinations thereof may also be proposed at the time of admission.

Course work is individually developed through consultation with an academic adviser. Outside fields of study may take advantage of the University’s varied resources. Recent graduates have completed outside fields in anthropology, art history, business administration, city and regional planning, computer science, various engineering fields, psychology, women’s studies, geography and sociology.

The following are members of the Ph.D faculty, broken into one of two offered areas of study. Please also review the current list of all faculty in the Architecture Department for other faculty and specialities. A sampling of faculty research is described on the faculty research projects page.

Building Science, Technology and Sustainability

Requirements

The Ph.D. program in architecture is governed by the regulations of the University Graduate Division and administered by the departmental Ph.D. committee. Specific degree requirements include:

• A minimum of two years in residence.
• Completion of a one-semester course in research methods.
• Satisfaction of a foreign language requirement for those in the History, Theory and Society.
• Completion of one-to-two outside fields of study.
• A written qualifying examination, followed by an oral qualifying examination.
• A dissertation.

Course requirements for the degree include:

• 2023-2024 BSTS Ph.D. Handbook [PDF]
• 2023-2024 HTS Ph.D. Handbook [PDF]
• 2022-2023 BSTS Ph.D. Handbook [PDF]
• 2022-2023 HTS Ph.D. Handbook [PDF]
• 2021-2022 BSTS Ph.D. Handbook [PDF]
• 2021-2022 HTS Ph.D. Handbook [PDF]

Ph.D. Alumni List

• Ph.D. Alumni — Building Science, Technology and Sustainability
• Ph.D. Alumni — History, Theory, and Society

Computer Architecture Today

Tips for a new computer architecture phd student.

by Swapnil Haria on Mar 5, 2019 | Tags: Advice

I have been fortunate enough to have many helpful senior students and two wonderful advisors to learn from throughout my PhD. Now as a senior PhD student myself, I have identified some lessons that proved most valuable as well as common mistakes made by younger graduate students. While these may be common knowledge, I am documenting these tips here to pass on some of our collectively learned lessons to future graduate students.

1. Learn to read a paper efficiently. Fifty years of architecture research has produced a venerable but sizeable collection of research literature, growing by almost 200+ papers a year just from the top four conferences. To make good progress as we wade through the ocean of related work, it is important to read papers efficiently. Here is a useful three-pass technique for reading papers efficiently. For me, reading a paper involves finding an answer to these questions (inspired by grant writing tips ):

• What is the problem that the paper is trying to solve?
• Why is the problem relevant?
• What is the insight that drives the solution proposed by the paper?
• What are the trade-offs of the proposed solution?
• How have the authors evaluated the solution?
• What is one good trait in the paper (problem, solution, evaluation, presentation)?

2. Know when to stop reading papers. Whenever one begins a new project, it is easy to fall into the trap of endlessly reading paper after paper of related work. While surveying related literature is essential, it tends to yield diminishing returns after a certain point.  it is equally important to get one’s feet wet and actually start working on a project. There will be gaps in one’s knowledge but any critical gaps can be filled when that information is actually needed. After all, a graduate student is expected to be an information producer and not just a consumer.

3. Join or start a reading group. One way of being social is to participate in a reading group, which is a group of students that meet regularly to discuss an interesting paper (old or new) related to a particular area (e.g., architecture). In each meeting, one of the members is responsible for leading the discussion while the others are expected to have read the paper so as to contribute to the discussion. Through reading groups, one is forced to read papers outside of one’s particular niche. Ph.D. graduates often end up working in an area outside of the focus of their thesis. Thus, being exposed to a wide variety of topics is extremely useful. Group discussions also help bring out multiple perspectives into the same paper.

4. Use appropriate evaluation methodologies. There is no one size fits all when it comes to evaluation methodologies . Always select an appropriate methodology by taking into account development time, simulation speed and accuracy of results. There are three broad types of evaluation methodologies. Analytical modelling involves building mathematical models of the area of interest. At early stages of a project, it may be more useful to build simple mathematical models to get a broad sense of the efficacy of a research idea. Popular analytical models include the Roofline Model, Little’s law, Bottleneck analysis and others. Trace-based simulation involves using simulators that read in instruction or memory accesses sequences (traces) to provide reasonable estimates of runtime. Finally, execution-based simulators model hardware behavior at a cycle granularity. While such simulators offer the most accurate results, they also require the most development time as well as simulation time. As such, they may be overkill for simpler experiments. Hence, it is good to be familiar with different evaluation methodologies and use the right one at the right time.

5. Work on real systems. Although simulators are becoming more sophisticated, there is no substitute for working on real systems. This involves prototyping ideas in the linux kernel, modifying device drivers, building FPGA-based systems or taping out chips . Looking at real systems gives us an idea of the complexity and robustness of industrial-strength solutions. This also forces us to confront the practical limitations of our ideas. The rise of open-source hardware along with existing open-source software has made it easy to work on real-world operating systems , compilers , CPUs and GPUs .

6. Spend time improving your programming skills. New computer architecture graduates may not already be good software engineers as computer architecture attracts students with backgrounds in hardware as well. However, PhD-level architecture research typically involves writing a lot of code as part of simulators, operating systems or benchmarks. Hence, it is worth spending some time early in the graduate lifecycle to improve one’s programming skills. Here are some handy resources: Data Structures , Complexity Theory , Design Patterns , Code Style , Git/Mercurial , Pointers .

7. Use microbenchmarks wisely. Microbenchmarks are simple and self-contained programs written to achieve a specific outcome. Microbenchmarks are immensely useful for preliminary exploration as well as sanity checking. An example is a program that can deterministically generate  ~100K TLB misses on every execution. Our example microbenchmark can validate a TLB simulator by comparing simulator-reported misses with microbenchmark-generated misses. Being simpler and more easily understood than full-fledged benchmarks, they can be used for initial evaluation to get results that demonstrate general trends. However, microbenchmarks should not be relied upon for any meaningful evaluation, particularly they should not be used as a proxy for real applications.

8. Create talks/posters/paper drafts to get early feedback. Once we start plugging away at implementation work, we sometimes lose track of the big research picture and instead simply generate a lot of experimental results. It is important to analyze these results in the context of the overall project. Then, crafting a talk or poster even with little to no results forces us to present our ideas in actual words and images. Different presentation media make us think about our research differently and thus refine our story. By presenting our posters and talks to other researchers, we get timely feedback that can help set the direction of our project.

9. Care for your mental and physical well-being and maintain a support system. The typical PhD lifetime is long years of hard work with a few triumphant occasions such as paper acceptances mixed in. Remember that graduate school is a marathon and not a sprint. Hence, it is important to care for one’s overall health by getting enough sleep, having a healthy diet and spending time on exercise and hobbies. More importantly, graduate school is the first time many of us struggle academically or feel unproductive which may lead to mental health issues . Just remember that you are not alone in facing these issues and it is okay to ask for help. Most schools offer free or subsidized mental health resources . Furthermore, try to build and subsequently maintain a strong support structure for yourself by nurturing personal relationships with family and friends. Be social with your peers and almost never say no to going out for lunch, attending practice talks and other such activities.

Acknowledgements I thank Prof. Mark Hill, Lena Olson and Prof. Jason Lowe-Power for help improving this document. For teaching me these lessons in the first place, I am grateful to Prof. Mark Hill, Prof. Michael Swift, Prof. David Wood, Lena Olson, Jason Lowe-Power, Nilay Vaish, Jayneel Gandhi, Hongil Yoon, Rathijit Sen, Gokul Ravi, Marc Orr, Muhammad Shoaib, Joel Hestness, Prof. Tony Nowatzki, Newsha Ardalani, Vijay Thiruvengadam, Vinay Gangadhar and many others whom I encountered in graduate school.

About the author: Swapnil Haria is a 5th-year PhD Candidate at the University of Wisconsin-Madison, advised by Mark Hill and Michael Swift. His research is focused on hardware and software support for persistent memory.

Disclaimer: These posts are written by individual contributors to share their thoughts on the Computer Architecture Today blog for the benefit of the community. Any views or opinions represented in this blog are personal, belong solely to the blog author and do not represent those of ACM SIGARCH or its parent organization, ACM.

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• PhD positions in Architecture (9)
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Research Doctorate (Ph.D.)

The Research Doctorate (Ph.D.) constitutes the highest level of education in the university system. Its goal is to prepare researchers who have the skills and aptitude to pursue activities of high quality research in industries, in research centers, in public administrations and in academic institutions. Politecnico di Milano offers Doctoral Programmes in all fields of Architecture, Engineering and Industrial Design. Access to the Doctoral Programmes is selective, based on the verification of the research capacities and potentials by curriculum examination. The Research Doctorate (Ph.D.) degree is awarded at the completion of the Programme, which lasts at least three years.

For further information visit the PhD website .

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See also: Rocca Project

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PhD's on neuromorphic computing & engineering: algorithms&hardware architectures

ultra-low-power circuits, systems, and computing architectures . We are seeking candidates for several PhD positions, each focusing on one or more of the following cutting-edge research topics: Ultra-low

, and the design of ultra-low-power circuits, systems, and computing architectures . We are seeking candidates for several PhD positions, each focusing on one or more of the following cutting-edge research

Associate Professor, Program Director 'Borders & Territories'

;T) invites PhD dissertation proposals to help expand its doctoral portfolio.B&T is part of the Department of Architecture’s research program and is coordinated by program director dr. Marc

PhD Distributed adaptive configuration of future automotive E/E architectures

developments in intelligent autonomous vehicles? • Are you excited to work on adaptive automotive E/E architectures ? Then apply for the PhD position on Distributed adaptive configuration of next generation

? •     Are you fascinated by the latest developments in intelligent autonomous vehicles? •     Are you excited to work on adaptive automotive E/E architectures ? Then apply for the PhD position on Distributed

Postdoc EUROGUARD: European Goal Based Multi Mission Autonomous Naval Reference Platform Development

also demonstrate the benefits offered by a common System Architecture for future European semi- and fully autonomous naval ships. This PhD project specifically aims to support the development of a

PhD In-Memory Computing for efficient online learning Spiking Neural Networks

: To research, design, implement, and evaluate an ultra-low-power Spiking Neural Network (SNN) architecture that leverages in-memory computing principles for efficient online learning. Background: The field

PhD Position EUROGUARD: European Goal Based Multi Mission Autonomous Naval Reference Platform Development

Phd position zero emission building and artificial intelligence (zebai).

the built environment, industrial design, computer science or an applied sciences field relevant to the PhD research. proficiency and the ability in expressing yourself verbally and in writing in

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

architecture ? Then you may be an excellent candidate for this PhD position. Irène Curie Fellowship No Department(s) Built Environment Reference number V38.7449 Job description The increasing demand for new

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PhD student position in Computer Architecture 2021

Eligible Degrees:

Funding Type:

Eligible Courses:

Eligible Nationalities:

Scholarship can be taken at:

• Chalmers University of Technology

Updated on: 23 Jun, 2022

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Details about PhD student position in Computer Architecture 2021

PhD student position in Computer Architecture 2021 is offered for PhD degree in the field of Computer Architecture. You can apply to this scholarship here . The deadline for the sending your application is 30 Sep 2021 . This scholarship is provided by Chalmers University of Technology and the value of this scholarship is Partial Funding, Salary . This scholarship is open for: Open to all nationals.

• Degree: PhD
• Provided by: Chalmers University of Technology
• Deadline: 30 Sep 2021
• Scholarship value: Partial Funding, Salary

PhD student position in Computer Architecture 2021 is provided by Chalmers University of Technology to students who have enrolled themselves for a Phd studentship position at the University.

Eligibility criteria for PhD student position in Computer Architecture 2021 is

• Applicants of PhD student position in Computer Architecture 2021 must have an offer letter for a Phd studentship position in Computer Architecture from Chalmers University of Technology to avail this scholarship.
• Students applying for PhD student position in Computer Architecture 2021 can be both domestic and international students
• Candidates applying for PhD student position in Computer Architecture 2021 must surpass the admission requirements set by the University.
• Applicant must have doctoral degree in relevant field along with a few teaching skills.

Value of PhD student position in Computer Architecture 2021 is

All successful applicants of PhD student position in Computer Architecture 2021 will receive a good salary package from Chalmers University of Technology.

Deadline for PhD student position in Computer Architecture 2021 is

• 30th September 2021

Related Links of Chalmers University of Technology

• Explore Chalmers University of Technology scholarships for International students
• Apply to an Education Loan to Study at Chalmers University of Technology
• Send transcripts/documents to Chalmers University of Technology at 40% discount

Can I get an education loan to study abroad at Chalmers University of Technology

Yes, you can secure an education loan to study abroad at Chalmers University of Technology. Education loans are of two types- Collateral and non collateral. Collateral includes either: Immovable property – a house or a flat or land (or) liquid security – an FD, or LIC or shares or bonds. Agricultural lands are not accepted by any bank for education loan.

Public banks like SBI , BOB offer these types of education loans. There are many NBFCs who offer Non-collateral education loans. Apply for the best education loan to study abroad.

When is the deadline of PhD student position in Computer Architecture 2021?

The deadline of PhD student position in Computer Architecture 2021 is 30 Sep 2021

For which degree is PhD student position in Computer Architecture 2021 offered for?

PhD student position in Computer Architecture 2021 is offered to PhD degree

For which field is PhD student position in Computer Architecture 2021 offered for?

PhD student position in Computer Architecture 2021 is offered for Computer Architecture

Who can apply for PhD student position in Computer Architecture 2021?

PhD student position in Computer Architecture 2021 is open for: Open to all nationals

Who is offering PhD student position in Computer Architecture 2021?

PhD student position in Computer Architecture 2021 is offered by Chalmers University of Technology

What is the funding covered in PhD student position in Computer Architecture 2021?

PhD student position in Computer Architecture 2021 Covers Partial Funding, Salary

Where can PhD student position in Computer Architecture 2021 can be taken at?

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