Postdoctoral Fellow in Computer Engineering

Harvard University

United States




Title Postdoctoral Fellow in Computer Architecture & Systems
School Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area Electrical Engineering/Computer Engineering/Computer Science
Position Description


We are a leading research lab committed to pushing the boundaries of computer architecture and systems at the edge and beyond. Our team of researchers and engineers is dedicated to developing cutting-edge technologies that shape the future of computing. As part of our team, you will have the opportunity to collaborate with top industry professionals and make significant contributions to the advancement of computer science and engineering across diverse topics.


We are seeking a highly motivated and talented Postdoctoral Researcher to join our team and contribute to our ongoing research in computer architecture and machine learning systems. As a Postdoctoral Researcher, you will play a key role in designing, developing, and optimizing novel architectures and algorithms to accelerate workloads across a broad range of emerging application domains such as XR, robotics, autonomous vehicles and so forth. You will have the opportunity to work on state-of-the-art hardware/software co-design projects, exploring innovative solutions that bridge the gap between theory and practice.


    • Conduct cutting-edge research in the areas of computer architecture and machine learning systems.
    • Design and optimize hardware and software components for efficient execution of machine learning workloads.
    • Develop novel algorithms and techniques to improve the performance, energy efficiency, and scalability of machine learning systems.
    • Collaborate with cross-functional teams to integrate research findings into practical solutions.
    • Publish research papers in top-tier conferences and journals.
    • Stay up-to-date with the latest advancements in computer architecture and machine learning systems.
    • Lead projects and mentor undergraduate and graduate students


Basic Qualifications
Applicants are expected to have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on computer architecture, machine learning, or systems, by the start date.
Additional Qualifications
Looking for candidates with expertise in at least one (or more) of the following areas:
    • Strong background in computer architecture, including familiarity with modern processor architectures, memory hierarchies, and interconnects.
    • Expertise in machine learning algorithms, frameworks, and systems.
    • Proficiency in programming languages such as C/C++, Python, and experience with parallel programming (CUDA, OpenCL, etc.).
    • Solid understanding of hardware/software co-design principles.
    • Track record of high-quality research publications in relevant conferences or journals.
    • Excellent analytical, problem-solving, and communication skills.
    • Ability to work independently and collaboratively in a team-oriented research environment.


Additional qualifications may include:
  • Experience with FPGA or ASIC design and implementation.
  • Knowledge of emerging memory technologies (e.g., non-volatile memory, near-memory computing).
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with performance modeling and evaluation of computer systems.
  • Strong programming skills in low-level languages (e.g., Verilog, VHDL).
Special Instructions
To apply, please submit the following documents:
    • Updated curriculum vitae (CV) highlighting your relevant research experience.
    • Cover letter describing your research interests, relevant qualifications, and career goals.
    • Two or three representative publications or preprints.
    • Contact information for three references.


We are an equal opportunity employer and welcome applicants from diverse backgrounds. The position is available immediately and will remain open until filled. We encourage early applications.
Contact Information
Sarah Gayer
Contact Email
Equal Opportunity Employer
Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.
Minimum Number of References Required 2
Maximum Number of References Allowed 5
Computer Architecture
Machine Learning
Runtime Systems

Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents
  1. Curriculum Vitae
  2. Cover Letter
  3. Publication
  4. Publication 2
Optional Documents
  1. Publication 3

In your application, please refer to