AI Job Opportunities
Submitted January 15, 2016
George Mason University
Tenure-Track Faculty, Health Information Systems/Health Informactics
The George Mason University Department of Health Administration and Policy (HAP), within the College of Health and Human Services (CHHS), invites applications for a full-time, nine-month, Tenure-Track Faculty position in Health Information Systems/Health Informatics. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment.
The position will serve as the teaching and research faculty in the Health Informatics program within the Department of Health Administration and Policy, teaching courses consistent with their background/expertise across HAP's Health Informatics programs (B.S. through Ph.D.). All HAP tenure-track faculty teach across the graduate and undergraduate curriculum in with varied responsibilities, including but not limited to: teaching, research and securing external funding, curriculum and dissertation guidance, student advisement, and university and community service. Because our faculty is composed of scholars from many academic and professional disciplines, and because we collaborate with faculty throughout George Mason University, we are especially interested in bringing in a colleague whose work can transcend disciplinary boundaries, especially with the CHHS School of Nursing, the Volgenau School of Engineering and the College of Science at Mason. Information about Mason's Health Informatics program can be found at hi.gmu.edu and information about the HAP department at hap.gmu.edu.
- Earned doctorate in health informatics, computational science, computer science, information technology, systems engineering, and/or health professional degree related to applied health informatics;
- Established record of scholarly activity;
- Teaching experience or potential;
- Demonstrated ability to secure external funding; and
- Effective interpersonal communication skills.
Priority will be given to applicants with a background in data analytics, machine learning, natural language processing, and artificial intelligence applied in medical and health domains; but outstanding candidates with other areas of expertise such as management of health information systems, healthcare security and privacy, data integration/exchange and electronic health records will be considered.
The university is located in Fairfax, Va., in the northern Virginia suburbs of Washington, D.C. Northern Virginia is home to one of the largest concentrations of high-tech firms in the nation. There are excellent opportunities for interaction with government agencies, sophisticated public and private health systems and robust high technology firms.
George Mason University is an affirmative action/equal opportunity employer. Mason is especially interested in receiving applications from female candidates and/or individuals with diverse racial and ethnic backgrounds.
For full consideration, applicants must apply for position number F7656z at jobs.gmu.edu; complete and submit the online application; and upload a letter of application, current curriculum vitae, a list of three professional references with contact information, and a copy of professional credentials if appropriate (into field labelled 'Other Doc'). Review of applications will continue until the position is filled.
Letters of inquiry may be sent electronically to firstname.lastname@example.org.
George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.
Apply Here: http://www.Click2Apply.net/4sd6rkrr6q
Submitted November 27, 2016
Research Scientist, Machine Learning
Luminoso Technologies, Inc.
Luminoso is expanding its research team, hiring innovative research scientists with applied experience using machine learning to create state-of-the-art techniques in natural language understanding that provide value to our customers. We use the latest techniques in vector-based semantics (including Deep Learning approaches), combined with a powerful knowledge graph, to push the boundaries of computers' understanding of human language.
Is this the right place for you? You will work in our Cambridge, MA headquarters with our Software Engineers to discover, invent, and build techniques that work across multiple languages and multiple domains. You stay connected to your research roots as an active contributor to the wider research community, keeping up with the literature and publishing breakthrough results.
Your work will involve modeling both the broad understanding that comes from up to terabytes of natural language data, and the targeted understanding that can be extracted from a smaller number of documents in a particular domain. Problems to be solved include automatically organizing documents into explainable topics, discovering what makes one set of documents different from another, evaluating the correctness of knowledge in a knowledge base, and recognizing the intent of a user who is talking to an automated chat system.
If you have an entrepreneurial spirit, know how to deliver, love to work with data, and long for the opportunity to make computers understand people better in real-world situations, we want to talk with you.
- Key Responsibilities:
- Establish scalable, efficient, reproducible processes for large scale data analyses, model development, model validation and model implementation
- Research and implement new approaches to machine learning
- Use vector-based semantics and transfer learning to provide valuable insight into a customer's line of business
- Work closely with the software engineering team to implement new models that lead to new features
- Master's degree in CS machine learning, statistics or a highly quantitative field
- Experience in natural language processing, machine learning and artificial intelligence
- Expertise in some area of ML
- Proficiency in Python
- Comfortable with linear algebra
Nice to Haves:
- Relevant work experience, including full time industry experience or as a researcher in a lab
- Communication and data presentation skills
- Experience working in a Linux environment
- Familiarity with running deep learning algorithms on a GPU (graphics processing unit)
- Familiarity with high-performance languages such as Rust, Cython, or Lua
Salary and Terms: Must have authorization to work in the United States for any employer
Company Website: luminoso.com
Luminoso Technologies, Inc.
675 Massachusetts Ave.
In accordance with Luminoso's values and the laws of the Commonwealth of Massachusetts, Luminoso Technologies, Inc. is committed to providing employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, disability, genetic information, veteran status, or any other characteristic protected by federal, state or local law. In addition, Luminoso will provide reasonable accommodations for qualified individuals with disabilities.
Luminoso Technologies, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The company does favor U.S. citizens or permanent residents in its employment practices.