Jobs and Internships

In the Department of Electrical and Computer Engineering, we work to cultivate contacts between our students and industry, with the goal of placing our graduates into challenging and fulfilling positions where they can utilize their excellent academic background to further today’s as well as tomorrow’s business objectives.

Keep an eye on our job board below for new opportunities. Also be sure to visit the Johns Hopkins Life Design Lab for more guidance in navigating through the maze of internships, interviewing, and employment. You can also check job listings in the academic realm at Academic Keys, and sign up for its E-Fliers with new openings.

Follow this link for a complete list of NSF engineering REU opportunities. 


(Updated: 12/22/2020)

Career Center Job Feed

Full-Time and Part-Time Positions

  • Comtech PST, a world leader in the design & manufacture of solid state broadband high power amplifiers and components is seeking individuals to join a talented RF Engineering team involved in the analysis, research, design, development, fabrication & testing of devices or systems for applications from 1 MHz to 6 GHz. The ideal candidate will be able to perform original circuit design & analysis & design & plan layouts & schematics.

    EDUCATION REQUIRED: BSEE degree and 5 years experience or equivalent required.

    TO APPLY: Send your resume to [email protected].

    Follow this link for more employment opportunities with Comtech PST.

  • Follow this link for the job listing.

  • Baidu Research Cognitive Computing Lab (CCL) is looking for outstanding research scientists with strong
    background in statistical machine learning, deep learning, systems, databases, NLP, knowledge, reasoning,
    and/or computer vision. Our mission is to develop next generation cognitive computing technologies for
    better connecting billions of users to services. As a research scientist at Baidu, you will be uniquely
    positioned in our team to work on very large scale industry problems and to push forward frontiers of
    cognitive computing technologies. Publications in premier conferences or journals are highly encouraged.


    • PhD in Computer Science, Statistics, Electrical Engineering, Mathematics, or related fields.
    • Excellent publication record in major CS conferences and premier CS/Stat/EE/SIAM journals.
    • Examples are CVPR, KDD, ACL, WWW, NIPS, ICML, SIGMOD, JMLR, PAMI, IEEE Info. Theory, major
      statistics journals, SIAM J. Computing, SIAM J. Optimization, etc.
    • Strong analytical and problem-solving skills.
    • Team player with good communication skills.

    Please email CV to [email protected]

  • Follow this link to find out more about this opening, which is based out of New York City.

Internships and Research Experiences

  • Data Science Internship with the Center for Data Science in Emergency Medicine

    We are seeking an enthusiastic data science intern who is interested in the application of statistical, mathematical and computational techniques to solve real-world problems in medicine and healthcare. This internship is a collaboration between the Whiting School of Engineering and the Department of Emergency Medicine at Johns Hopkins School of Medicine. The student is expected to work collaboratively with physicians and data science research faculty and staff within the Center for Data Science in Emergency Medicine. CDEM is focused on the improvement of patient outcomes using data-driven methods that include large-scale electronic health record (EHR) data extraction, EHR data wrangling, research database building, machine learning, optimization modeling and advanced data visualization techniques.

    Here is a flyer with more information.

    Compensation: Rate will depend on student availability, experience, and project needs

    Required Education: Undergraduate or master students in computer science, mathematics, management sciences, or relevant fields. No previous research/industry experience required.

    Desired knowledge, skills, and abilities:

    • High-level communication skills
    • Strong critical thinking and analytical reasoning skills
    • Proficiency with multiple programming languages (including R, Python and SQL)
    • Proficiency in or eagerness to learn cloud-based computing skills
    • Ability to execute assigned project tasks within established schedule
    • Sound documentation skills (writes and communicates clearly and concisely)
    • Prior experience in healthcare-oriented research desired but not necessary

    Application Process: Send your CV, cover letter (describing relevant course work, research experience, and/or future plans about industry/research career) and one letter of recommendation/professional reference contact info.

    Email applications to Tracy Marshall: [email protected] (Subject line: CDEM Internship application)

    Application deadline: January 15

    Anticipated start date: As soon as possible/negotiable (duration appx 12 weeks)

    For more information, see attached PDF or visit our website:

  • We recently developed a new type of “GoPro-like” mini-microscope that is transforming neuroscience research by enabling high-resolution imaging of the brain in freely moving animals (see Hopkins press release  here). These mini-microscopes are the size of a U.S. quarter and are mounted on the heads of freely moving mice to image their brains in action without discomfort. Currently, these mini-microscopes are connected via a wired tether to processing electronics which limits their use to short-term imaging (e.g. hours), and prevents the long-term (i.e. days) imaging necessary for characterizing disease models. To address this critical need, we have established a collaboration between Dr. Arvind Pathak’s laboratory (Pathak lab)  in the Dept. of Radiology and Dr. Ralph Etienne-Cummings’s Laboratory (CSMS) in the Dept. of Electrical and Computer Engineering to develop the next generation of wireless mini-microscopes. These “wireless scopes” are designed to stream images of brain function continuously and in real-time over the entire life cycle (i.e. days) of the disease model being studied. Moreover, application of high-throughput image processing approaches on the resulting terabyte scale data will permit new biological discoveries.
    Therefore, we are looking to recruit two highly motivated and driven undergraduate or Master’s students to join this exciting initiative. Candidates must have experience with: (a) embedded software development, and/or (b) development of a high-throughput image processing pipeline. Knowledge of C, C# or C++ is mandatory. Programming experience with ARM microprocessors and familiarity with Matlab/Python are desirable.

    Interested students can email Dr. Milad Alemohammad at [email protected] with “wireless scope” as the subject for more information. Please include your name, major and year of study in the email, along with your resume highlighting the relevant expertise/experience.

    Related Publications:
    Senarathna, J., Yu, H., Deng, C., Zou, A.L., Issa, J.B., Hadjiabadi, D.H., Gil, S., Wang, Q., Tyler, B.M., Thakor, N.V. and Pathak, A.P., 2019. A miniature multi-contrast microscope for functional imaging in freely behaving animals. Nature communications, 10(1), pp.1-13.

    Yu, H., Senarathna, J., Tyler, B.M., Thakor, N.V. and Pathak, A.P., 2015. Miniaturized optical neuroimaging in unrestrained animals. Neuroimage, 113, pp.397-406.
  • We are hiring for interns for our 2021 EOL Summer Undergraduate Projects in Engineering Research (SUPER) Internship here at NCAR, located in Boulder, Colorado. As an intern – you will be working work hands-on with NCAR/EOL engineers on atmospheric observing systems and developments, including radar, lidar, and sounding systems and associated software developments including data analysis, visualization, and management. Interns may spend part of the summer participating in a field deployment, operating and/or supporting one or more EOL observing systems. SUPER interns work together and are part of a larger community of UCAR and NCAR summer interns. This is a paid, remote internship. Whether to allow for in-person/on-campus internships will be re-evaluated in spring 2021.

    Click here for the full job description of the position.

    Does this sound like the internship for you? If so, please click here to apply.

  • Click here to read more about the position.

  • Click here to read more about the position.

  • Comtech PST, a world leader in the design & manufacture of solid state broadband high power RF/Microwave amplifiers and components is seeking Electrical Engineering students to join a talented RF Engineering team involved in the analysis, research, design, development, fabrication & testing of devices or systems for applications from 1 MHz to 18 GHz. The ideal candidate will be pursuing an Electrical Engineering degree and have completed their Sophomore year of formal education in an accredited college or university. We offer a part time flexible schedule to accommodate educational requirements.

    TO APPLY: Send your resume to [email protected]

    Follow this link for more employment opportunities with Comtech PST.

Postdoctoral Opportunities

  • We have several exciting postdoctoral opportunities at the University of Leeds on deep learning in medical image computing and computational mechanics to deliver the vision of in silico trials of medical devices. Leeds boasts a great ecosystem for HealthTech Innovation with strong expertise at the University of Leeds in Data Analytics and Artificial Intelligence (, Fluid Dynamics ( and HealthTech ( CISTIB ( is framed in this ecosystem and working in the exciting field of novel medical device design and evaluation.

    Prof Frangi, Director of CISTIB, is a Royal Academy Chair in Emerging Technologies (2019-2029) to deliver INSILEX, a 10-year programme to undertake trailblazing research in Computational Medicine and In Silico Trials. INSILEX envisions a paradigm shift in medical device (MD) innovation where quantitative sciences are exploited to engineer MD designs, explicitly optimise clinical outcome carefully, and thoroughly test side-effects before being marketed. In-silico trials are essentially computer-based MD trials performed on populations of virtual patients. They use computer models/simulations to conceive, develop and assess devices with the intended clinical outcome explicitly optimised from the outset (a-priori) instead of being tested on humans (a-posteriori). This will include testing for potential risks to patients (side-effects) exhaustively exploring MD failure modes and operational uncertainties in-silico, before testing in live clinical trials. Advanced computer modelling will prove useful to predict how a device behaves when deployed across the general population or when used in new scenarios outreaching the primary prescriptions (device repurposing), helping to benefit the broadest possible target group without unintended consequences of side-effects and device interactions.

    We seek up to four ambitious and seasoned postdocs with experience and interests in these areas:

    Research Fellow in Computational Cardiovascular Flows, Mechanics & Devices (Up to 2 posts)

    Research Fellow in Deep Learning in Medical Image Computing & Modelling (Up to 2 posts) 

  • Baidu Research CCL invites applications for a number of Postdoctoral Fellowships, to conduct original
    research in computer science and statistics. Areas of research include statistical learning, deep nets,
    theoretical computer science, security, natural language processing, computer vision, knowledge graphs,
    etc. This fellowship should be an excellent opportunity for outstanding fresh PhD graduates who hope to
    spend one or two years in an industry research lab before going to academia. Those who already have
    faculty offers are also welcome to apply if they can make proper arrangements with their universities.

    Please email your CV to [email protected]

  • Postdoc Jobs at MIT in biomedical antennae, nanoelectronics and magnetics

    Postdoc positions available in the Nano-Cybernetic Biotrek (NCB) ( research lab at MIT. NCB aims to fuse nanoelectronics, applied physics, and biology with two major research directions:


    • Develop novel nanoelectronic devices (such as Quantum Devices, Spintronics, Neuromorphic) employing ingenious device physics and smart nano-materials for achieving extreme energy efficiency and scalability;
    • Merge such next generation technologies with living-matter creating unique nanomachine-bio hybrid systems, with remote control and wireless communication abilities to achieve unprecedented possibilities for probing/sensing and modulating (for therapeutics) our brain and body.


    NCB has opening for postdoc in wireless sensing of chemical and biological signals. The postdoc will conduct research to design and develop wireless sensing technologies, implantable and wearable antennae and transmitter/receiver systems for diverse applications in wireless energy harvesting, sensing, magnetic resonance imaging and biomedical applications. Strong background in electromagnetism, antenna design and RF engineering is required.

    More details about the openings and application steps can be found at

    2. Postdoc position in Magnetics and Spintronics


    • Design and develop new magnetic and spintronics devices for diverse applications such as energy harvesters, sensors, actuators, resonators, memory, transistors etc
    • Perform multi-physics simulations to optimize the device
    • Fabricate the devices using cleanroom facilities and perform device characterization

    More details about the openings and application steps can be found at

    3. Postdoc position in Nanoelectronics and/or 2D materials


    • Design and develop new nanoelectronic devices for diverse applications such as transistors, sensors, biomedical devices etc
    • Perform multi-physics simulations to optimize the device
    • Fabricate the devices using cleanroom facilities and perform device characterization

    More details about the openings and application steps can be found at​​

  • The Neuromorphic group of NUS (National University of Singapore) is offering multiple positions to potential Post-Docs and Research Associates.

    You will be working in the field of neuromorphic engineering, especially from an algorithmic perspective, in an ongoing collaboration with A*STAR(Agency for Science, Technology and Research) on their efficient neuromorphic computing program. In addition, you will have an opportunity to work on cutting edge neuromorphic processors such as IBM’s TrueNorth and Intel’s Loihi.

    Preference will be given to candidates with experience in:
    – Spiking Neural Network
    – Machine Learning
    – Computer Vision
    – Neuromorphic Engineering
    – Embedded Hardware

    Click here to see the various openings. Interested candidates are requested to contact Sumit Bam Shrestha ([email protected]) along with their CV.

Faculty Positions

Back to top