The Nonproliferation and National Security Department seeks a 2-year term postdoctoral Research Associate with knowledge and experience in machine learning and its applications in nuclear engineering, national security, nuclear safeguards, or relevant fields.  The successful candidate will participate in ongoing research in machine learning for radiation measurements, nuclear safeguards, and security, and is expected to contribute to future proposals to develop new research opportunities.  This position has a high level of interaction with an international and multicultural scientific community.

Essential Duties and Responsibilities:

• Apply machine learning to data analysis in radiation detection and nuclear security and safeguards to improve operational performance and efficiency
• Conduct research in machine learning focusing on applications of radiation detection in nuclear security, nuclear safeguards, and healthcare
• Develop machine learning algorithms and software tools to meet sponsors’ operational needs

Required Knowledge, Skills, and Abilities:

• PhD in any one of the following; Nuclear Engineering, Applied Math, Computational Science, or related field
• Familiarity with machine learning fundamentals, techniques, and applications
• Demonstrated programming skills in Python
• Experience with accelerators (GPU and/or FPGA) and high-performance computing systems
• Clear and concise oral and written communication and presentation skills
• Ability to work closely and communicate effectively with domain and infrastructure scientists
• Strong track records of publication
• Will be expected to give presentations at BNL lectures, conferences, and project review meetings to discuss research results.

Preferred Knowledge, Skills, and Abilities:

• Familiarity with deep learning libraries (Theano, Torch, Caffe, TensorFlow, etc.)
• Demonstrated algorithm development and deployment experience in national security, nuclear safeguards, and/or nuclear engineering
• Working experience in deep learning algorithms for object detection/classification/tracking and/or natural language processing
• Track record of producing high-quality software on schedule
• Experience working in multidisciplinary scientific collaboration

Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $68400 - $113250 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.

Environmental, Health & Safety Requirements:

The main scope of work will take place in an office environment as well as in the laboratories.  The successful candidate must be able to conduct the activities safely in BNL laboratories by completing required training, interpreting laboratory safety information postings, and wearing appropriate personal protective equipment.

POST-DOC

• BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events.
• Initial 2-year term appointment subject to renewal contingent on performance and funding.

OTHER:

• This is a fully onsite position located at BNL.

Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file