Post Masters RA - Analytics Researcher
Two postmaster positions are available in the Visual Analytics Group at Pacific Northwest National Laboratory. At PNNL we seek to find solutions to national security problems using data science, natural language processing, machine learning, deep learning, graph analytics and open source data analytics. The appointment will be for two years, with the possibility of renewal.
We are looking for a motivated person with excellent critical-thinking and problem-solving skills with extensive expertise in data science, natural language processing, applied machine learning, and deep learning. The candidate should have a Masters Degree (or expect to have one for the starting date) in computer science, applied mathematics, statistics, data science or physics. Proven abilities to work independently and to quickly adapt to new scientific environments are essential for this position. Strong communication skills to successfully collaborate with the other members of the team, and a strong working knowledge of both oral and written English are required.
Minimum Qualifications
Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university. Minimum overall GPA of 3.0 required.
Preferred Qualifications
- Excellent critical thinking and problem-solving skills.
- Proficiency in writing Python scripts for processing and analyzing text data.
- Detail-oriented approach in handling large datasets.
- Effective written and oral communication skills.
- Strong interpersonal skills and the ability to collaborate effectively on diverse teams of data scientists and ML engineers.
- Proven ability to work independently and to quickly adapt to new scientific environments.
Preferred qualifications also include:
- Familiarity with existing data science, deep learning and machine learning libraries (e.g., Pandas, TensorFlow, Theano, Pytorch, Keras, Scikitlearn, and CNTK).
- Experience applying natural language processing, machine and deep learning models to specific applications, such as text analysis, image analysis, text generation, social network analysis, etc.
- Familiarity with Git, MySQL, and MongoDB.
- Ability to contribute knowledge to the academic and research strength of PNNL.
- Experience contributing to scientific publications.
- Publication record in scientific conferences such as WWW, AAAI, PlosOne, NIPS, ICML, ICLR, KDD, ICWSM, EMNLP, ACL, and CHI is preferred.
Preferred Education
Degree in computer science, applied mathematics, statistics, physics, machine learning or closely related field.
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.