The Department of Biomedical Engineering is seeking a Research Assistant will primarily assist in the day-to-day logistical and operational tasks for various research studies in the Department, with a focus on projects that provide theoretical analysis of modern deep learning architectures and their generalization ability. The Research Assistant will interact with the investigators and collaborators in a research environment. This person will be designing, implementing and analyzing computational experiments, as well as writing and analyzing standard and non-standard reports. This person will also assist in carrying out theoretical investigations for models of generalization in deep neural networks, and using these models to derive tighter, non-uniform, generalization bounds for deep models. This person will also contribute to the research efforts of the PI’s research team, presenting in group meetings and collaborating with other students’ projects.

　　Specific Duties & Responsibilities

　　Maintain a good working knowledge of all assigned protocols and reporting requirements.

　　Maintain a good working knowledge of state-of-the-art literature on generalization in deep learning.

　　Perform data collection and analysis under the supervision of Sr. researchers.

　　Implement computational experiments to test for potential theory and to gain experimental insights.

　　Design methodology to evaluate the specific learning problems and obtained machine learning models.

　　Implement experiments to validate different trained models.

　　Maintain paper and computerized research files.

　　Participate in weekly research group meetings with the PI as well as with related collaborators in this project.

　　Prepare mandatory reports and documents/protocols.

　　Present and communicate results and progress updates clearly.

　　This description is a general statement of required duties and responsibilities performed on a regular and continuous basis; the Research Assistant will perform other related duties as assigned.

　　Minimum Qualifications

　　Bachelor's Degree in related discipline.

　　Additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.

　　Preferred Qualifications

　　Adequate knowledge in statistical learning and deep learning methodologies.

　　Familiarity and experience with programming, particularly for applied machine learning.

　　Familiarity with deep learning coding frameworks (pytorch, tensorflow, or similar).

　　Willingness to learn specialized software used in the research.

　　Classified Title: Research Assistant

　　Role/Level/Range: ACRO37.5/03/CD

　　Starting Salary Range: Min $17.00 - Max $30.00 HRLY ($50,000 targeted; Commensurate with experience)

　　Employee group: Full Time

　　Schedule: Monday through Friday

　　Exempt Status: Non-Exempt

　　Location: Homewood Campus

　　Department name: ​​​​​​​Department of Biomedical Engineering

　　Personnel area: Whiting School of Engineering

　　Total Rewards

　　The referenced salary range is based on Johns Hopkins University’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/

　　Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines:

　　JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.

　　**Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.

　　The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate’s conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.

　　The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion (https://diversity.jhu.edu/roadmap-on-diversity-and-inclusion/) .

　　Accommodation Information

　　If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at [email protected] . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu .

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　　The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

　　Note: Job Postings are updated daily and remain online until filled.

　　Equal Opportunity Employer:

　　Johns Hopkins University is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. The university promotes affirmative action for minorities, women, disabled persons, and veterans.