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The Johns Hopkins Department of Biomedical Engineering is now accepting applications to our new BME Distinguished Fellows program. This post-doctoral program is an accelerated career development pathway for talented and creative junior scientists who have demonstrated strong commitment to promoting diversity and inclusive excellence and who will contribute to the collaborative, innovative, and inclusive spirit of Hopkins BME. The aim of the BME Distinguished Fellows program is to support and develop the next generation of innovative interdisciplinary scientists.
Candidates for the BME Distinguished Fellows program will come from a broad range of disciplines ranging from engineering, physics, and mathematics to the life sciences and computational biology. Candidates should complete their PhD degrees no more than one year prior to their anticipated start date. Women and candidates from backgrounds that are typically under-represented in sciences and engineering are strongly encouraged to apply.
Successful candidates will build on their previous expertise in unique and interesting ways, bridge existing research groups within the BME department, or open up new areas of research. BME Distinguished Fellows are encouraged to identify primary and secondary mentors with whom they are interested in working to facilitate collaborations and interdisciplinary research projects.
The BME Distinguished Fellows program is as a pathway to independent research. Mechanisms to support the growth of BME Distinguished Fellows include, but are not limited to, the following:
- Fellows will be provided space and resources by their primary mentor(s), as well as the financial resources and support needed to promote their development as independent researchers.
- Fellows will be encouraged to apply for external funding to further establish their independence.
- Fellows will benefit from an expanded mentorship committee that will facilitate progress, provide guidance on lab management and future goals, support career development, and aid in building the Fellow’s professional network.
BME Distinguished Fellows will be appointed for an initial period of three years, with the option to apply for a two-year extension. Upon completion of the program, Fellows will be eligible and encouraged to apply for an appointment to the rank of Assistant Professor.
Applications to this post-doctoral program should include cover letter, CV, and research statement (optional) and should be submitted to http://apply.interfolio.com/84549. Review of applications will begin as they are received and will continue until the position is/positions are filled. Applicants are expected to begin on or around July 1st, 2021.
The Johns Hopkins University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The Johns Hopkins University is committed to recruiting, supporting, and fostering a diverse community of outstanding faculty, staff, and students and actively encourages applications from others who would bring additional dimensions to the university’s research, teaching and clinical missions. All applicants who share this goal are encouraged to apply.
The program for training postdoctoral fellows provides the opportunity to conduct leading research in a world-class environment. Each fellow is associated with the research program of a faculty member, enabling them to gain experience in a specific area of research.
Postdoctoral trainees are encouraged to attend lectures and seminars, as well as lead discussions in weekly journal clubs and departmental scientific events. Because of strong links and close proximity to the Schools of Medicine and Engineering, scientific events available to postdocs range from daily clinical grand rounds in various specialties to weekly seminars in highly theoretical areas of engineering.
Interested individuals are encouraged to explore research opportunities, and to contact related faculty about their interests and questions about next steps.
The Department of Biomedical Engineering is seeking a Research Assistant to assist with the day-to-day logistical and operational tasks for various research studies in the Systems and Computational Neuroscience Laboratory, headed by Professor Kathleen Cullen. The Research Assistant will run animal neurophysiological experiment in rodents. The Research Assistant will perform data collection in support of the investigators and collaborators in the research environment.
Specific Duties & Responsibilities
- Maintain a good working knowledge of all assigned experimental protocols and data analysis techniques.
- Collect behavioral data from animal subjects.
- Analyze data using Matlab.
- Develop and run routine reports to share with PI. Use standard mathematical and statistical tools and computer programs to review data, and utilize data cleaning measures to ensure accuracy of data.
- May conduct literature searches, design and format papers/publications, and assist in writing summaries of papers to support faculty in research efforts.
- Perform miscellaneous related duties as assigned.
- Bachelor’s degree in biomedical engineering or related discipline.
- Some research experience related to writing computer code.
- Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula:
* 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 the 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. *
Special Knowledge, Skills, and Abilities
- Adequate knowledge in biomedical engineering and computer science.
- Familiarity and experience with Matlab.
Classified Title: Research Assistant
Working Title: Research Assistant
Starting Salary Range: $16.26 – $22.35; Commensurate with Experience
Employee group: Full Time
Schedule: Monday – Friday, 8:30am-5:00am, Up to 40 hrs/ week
Exempt Status: Non-Exempt
Location: 04-MD:School of Medicine Campus
Department name: 10002766-SOM BME Systems Neuroscience
Personnel area: School of Medicine
The successful candidate(s) for this position will be subject to a pre-employment background check.
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 HR Business Services Office at [email protected]. For TTY users, call via Maryland Relay or dial 711.
The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.
During the Influenza (“the flu”) season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.
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.
Equal Opportunity Employer
Note: Job Postings are updated daily and remain online until filled.
EEO is the Law
School of Medicine – East Baltimore Campus
Closing Date: July 1, 2021
Description: The Carnegie Center for Surgical Innovation at the Johns Hopkins University has an immediate opening for highly qualified postdoc scholars for research in image-guided intervention, including new technologies for intraoperative cone-beam CT, ultrasound guidance, and robotic assistance. As a postdoc scholar, this individual will be responsible for imaging experiments, development of novel reconstruction and registration algorithms, and performance evaluation. Primary areas of clinical application include image-guided surgery and radiotherapy.
- Ph.D. in biomedical or electrical engineering, computer science, or medical physics
- Experience in state-of-art imaging technologies and image registration methods
- Experience dealing with clinical imaging datasets
- Proficiency in C++, ITK/VTK, Matlab, SHELL script in Linux, Python, tensorflow, and pytorch
The Johns Hopkins University is an EEO/AA Employer. The Department of Biomedical Engineering is committed to building a diverse educational environment, and women and minorities are strongly encouraged to apply.
Closing Date: July 1, 2021
Description: The Carnegie Center for Surgical Innovation at Johns Hopkins University has a postdoctoral research fellow position opening for a highly qualified personnel to work on research in medical image processing and analysis using artificial intelligence (AI) technology. A team of physicists, computer scientists, and engineers are working on image-guided surgery and radiation therapy problems in which the fellow will work on AI-based organ segmentation, multi-modal image registration, and real-time image guidance. Areas of major clinical application include robot-assisted neurosurgery and image-guided prostate radiotherapy in close collaboration with surgeons and radiation oncologists.
An ideal candidate should have a Ph.D. in biomedical or electrical engineering, computer science, or medical physics with a strong background and interest in medical image processing/analysis and machine learning. Programming experience in python, Matlab, C++, ITK/VTK, CUDA, tensorflow, pytorch is a plus.
This is an exciting research opportunity to learn and work on latest and cutting edge techniques in medical image processing, machine learning, multi-modality imaging, and image-guided interventions in collaboration with multi-disciplinary team. Resources available to the research included dedicated laboratories for 3D imaging, robot-assisted interventions, and high-speed GPU computing within an interdisciplinary research environment at Johns Hopkins Hospital.
The Johns Hopkins University is an EEO/AA Employer. The Department of Biomedical Engineering and the Department of Radiation Oncology and Molecular Radiation Sciences are committed to building a diverse educational environment, and women and minorities are strongly encouraged to apply.