Sr. Computational Neuroscientist

The Johns Hopkins Applied Physics Laboratory (APL) is a national leader in scientific research and development. APL is actively seeking a Sr. Computational Neuroscientist, for the Intelligent Systems Group. The Johns Hopkins Applied Physics Laboratory (APL) is located midway between Baltimore and Washington, DC.

Introduction:

The Intelligent Systems Group (ISG), of the Research & Exploratory Development Department (REDD), at the Johns Hopkins University Applied Physics Laboratory (JHU/APL), is a multidisciplinary team of scientists and engineers focused on developing the next generation of intelligent systems for the U.S. Government. Disciplines within the ISG include machine learning, autonomy, applied neuroscience, robotics, big data, data science and semantics.

Job Summary:

The highly skilled and motivated computational neuroscientist and neural information processing researcher will lead and support computational neuroscience research in the areas of neuromimetic/neuromorphic computing, deep learning, connectomics, reasoning, and inference.

Duties (Listed in order of importance with the estimated amount of time spent at each task):

1.Develop multi-scale models (cellular, circuit, higher architectures) of neural functionalities related to visual and auditory signal processing, learning, memory, and planning. Develop neuromimetic algorithms, alternative computing algorithms, and spiking neural networks for solving complex problems.

2.Utilize and adapt data processing, deep learning and/or other methods in computer vision and machine learning to process and analyze various neural, image, audio, and video data sets for the development of discriminative and generate models.

3.Provide input to team leads and other researchers to help define research vision and inform technical direction, and support reporting of accomplishments and contributions to sponsors and research community.

4.Write scientific manuscripts and whitepapers summarizing results to communicate impact of research, develop concepts of operation with mission relevance, and engage with sponsor and stakeholder community.

Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.

Qualifications:

Required Qualifications:
•Ph.D. in Neuroscience, Mathematics, Computer Science, Electrical Engineering, Computer Engineering, Biomedical Engineering, or related field and 5+ years of experience.
•Demonstrated ability in developing neural models, neuromimetic and machine learning algorithms, data processing and visualization, and utilization of software tools such as MATLAB, Python, and Linux.
•Demonstrated ability in selecting, developing, and applying machine learning and data mining algorithms.
•Experience dealing with large data sets.
•Excellent written and oral communication skills; ability to articulate complex technical issues effectively and appropriately for a wide range of audiences.

Desired Qualifications:
•Extensive experience in software programming, scripting (e.g. MATLAB, Python, Linux) and neural modeling tools (e.g., BRIAN, NEURON).
•Extensive experience in developing and applying machine learning algorithms in various application settings, particularly robotics, autonomous systems, neuroscience, and healthcare.
•Expertise in the design, development and implementation of data and image processing algorithms/systems and visualization.
•Broad experience in neuroscience and understanding of systems neuroscience.

Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.

Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.


Meet Some of Johns Hopkins Applied Physics Laboratory's Employees

Gianni P.

Electrical Engineer

Gianni works on the design, modeling, and simulation of low- to high-fidelity radar projects for the lab. He also conducts tests to evaluate new technologies.

Mary A.

Lead RF Systems Engineer

Mary Ann builds prototypes and integrates software and hardware communications in order to create complete systems for APL contracts and projects. She also collaborates with her team to fix software issues.


Back to top