Machine Learning Researcher (0002)¶
We are seeking a machine learning researcher to aid in the development of a new analysis platform for nuclear non-proliferation. Broadly speaking, nuclear non-proliferation seeks to keep nuclear weapons away from people who shouldn’t have them.
This position will help develop and implement new machine learning and/or deep learning algorithms for uncertainty quantification of non-proliferation data. This data may stem from a variety of real and simulated sources. Real time algorithms to validate and interpret incoming data are highly-desirable.
As a research position, the primary goal of the applicant will be to write publications demonstrating the results of interesting and new investigations.
Specific area of work will be tailored to applicant and applicants interests.
Applicant must be eligible for U.S. national security clearance.
Please send CV or resume AND a code sample (link or file) to Prof. Scopatz at scopatz@gmail.com.
Positions¶
This position is open to the following levels:
- Scientific Software Developer
- Graduate Student
- Post-doctoral Scholar
Salary and compensation will be based on prior work experience.
Background¶
Background in at least one of the following fields is requested:
- Data Science
- Data Engineering
- Applied Mathematics
- Nuclear Engineering
- Mechanical Engineering
- Computer Science
- Computer Engineering
- Physics
- Or similar.
Expertise¶
No prior nuclear engineering knowledge is strictly required, though a desire to learn-as-you-go is needed.
Applicable software development skills include knowledge of:
At least one programming language, preferred languages include:
- Python
- Haskell
- C++
git or hg, or other version control system
Test-driven development
Other software development best practices.
Potentially useful other software development skills include:
- High performance computing
- Cloud computing (high throughput computing)
- Data Science
Start Date¶
ASAP (2015-07-01)
