Applied Natural Language Processing (NLP) Post-Masters Researcher
What You Will Do
Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. You will work with the Information Systems and Modeling group on novel data science projects that make extensive use of analysis on large text corpora, including social media, news articles, journal articles, blog posts, reports, and more. Team members will support and enrich your research and professional goals through their outstanding breadth and depth of expertise in their respective fields. Our vibrant team of researchers is diverse across many spectrums, and we welcome people who are excited to work with an amazing team to help solve problems impacting our country and the world. The overarching goal of our research is to gain insights into human behavior using various text-based data sources and incorporate these insights into predictive models.
You will work with a multidisciplinary team of mathematicians, statisticians, remote sensing experts, biologists, physicists, and computer scientists in effort to build models of human dynamics using various internet data. Project components include data collection and curation, feature extraction, feature selection, time series modeling, and data fusion. You will have access to ample high-performance computing resources. A self-motivated, creative post-master’s student will find this environment conducive to intellectual and professional growth. A comprehensive knowledge of the novel components of the research activities will not be necessary as on-the-job training will support your success through a collaborative team atmosphere. Our team supports and is looking for candidates who are diverse from multiple perspectives.
What You Need
Minimum Job Requirements:
We seek applications from candidates with experience in any of the following research areas: computer science, information science, data science, mathematics, statistics, or closely related fields.
- Experience conducting research in the field of natural language processing, including novel methods development or novel applications
- An ability to work and communicate effectively in a diverse team environment
- Proficiency in a programming language
- A master’s degree earned no more than three years ago in a related field
- Ability and desire to obtain Q and SCI clearances, which typically require U.S. citizenship
Education/Experience :Position requires a Master’s Degree in STEM (or a closely related field), with a minimum cumulative GPA of 3.2 on a 4.0 scale, or its equivalent within the last three years.
Desired Qualifications:
●Proficiency with Python or R
●Proficiency with modern open-source NLP and machine learning toolkits (e.g., NLTK, MALLET, gensim, spaCy, CoreNLP, PyTorch, TensorFlow, GATE, OpenNLP, topicmodeling, tidytext)
●Proficiency with tools and workflows for modern software development (e.g., Git, GitLab/GitHub, unit/integration tests, Docker)
●Experience conducting NLP research as a part of a multidisciplinary team
●Publications in refereed journals and a history of successful research in collaborative team environments
●Experience working with real-world text corpora
●Experience working with “big” datasets
●Experience with high-performance computing platforms
●Experience with cloud computing platforms
Location: This position will be physically located in Los Alamos, NM.