Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.
We are seeking a Postdoctoral Research Associate who will support the Biostatistics and Multiscale Systems in the Computational Sciences & Engineering Division (CSED), Computing & Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) in Advanced Computing.
The candidate will work in a collaborative research and development environment focusing on artificial intelligence and machine learning for pediatric mental health research. We are specifically seeking a candidate with solid experience with handling multimodal healthcare data and natural language processing (NLP). The position requires innovative thinking to design and implement machine learning, or algorithmic solutions to real world problems in healthcare and biomedical research.
The candidate will be a Postdoctoral Research Associate within the Biostatistics and Multiscale Systems (BSMS) Group of the Advanced Computing in Health Sciences Section (ACH) in CSED. The ACH delivers scalable and computational solutions to biomedical and healthcare delivery challenges. The BSMS Group focuses on conducting research in computational sciences in the context of biomedical sciences in support of the nation’s leading health initiatives.
As a postdoctoral research associate, you will have the opportunity to conduct computational research and collaborate with scientists within the group as well as with external partners which may include other national laboratories, academia, or medical centers.
You will perform ground breaking research on a wide range of significant problems with the fastest computing platforms in the world. This position requires novel thinking, teamwork, and discovery in finding new approaches for analyzing massive and complex data, collaborating with worldwide experts, and publishing groundbreaking results.
- Participate in research projects in artificial intelligence and machine learning with applications to health sciences at the direction of principle investigators or delegated research scientists
- Integrate research in AI/ML with high performance computing systems
- Work on collaborative projects within ORNL and with external collaborators
- Publish papers, participate in conferences and contribute to grant writing efforts within the group
- A PhD in Biomedical Engineering, Computer Science, Computer Engineering or a related field completed within the last 5 years
- A record of productive and creative research in AI/ML proven by publications in peer-reviewed journals and/or conference presentations
- A strong background in multi modal data handling – medical imaging, structured and unstructured clinical data
- A record of experience in developing and applying AI-based solutions to healthcare data
- Proven expertise in neural networks: implementation and application of RNN and CNN
- Expertise in software development and high-performance computing
- Excellent written and oral communication skills
- Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
- Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to email@example.com with the position title and number referenced in the subject line.
Instructions to upload documents to your candidate profile:
- Login to your account via jobs.ornl.gov
- View Profile
- Under the My Documents section, select Add a Document
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.
Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.
For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.