Cognitive Neuro-Symbolic Systems for Decision Support

Posted 8 Days Ago
Be an Early Applicant
Pittsburgh, PA
1-3 Years Experience
Internet of Things
The Role
The intern will research cognitive modeling and machine learning to develop neuro-symbolic algorithms for real-world decision support systems. Responsibilities include implementing algorithms, conducting evaluations, and collaborating on research paper publications.
Summary Generated by Built In

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Watertown, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.

Job Description

Bosch Research Pittsburgh would like to invite an enthusiastic research intern for investigations at the intersection of Cognitive Modeling, Machine Learning, Knowledge Representation and Reasoning. We wish to develop neuro-symbolic algorithms for decision support based on heterogeneous information, spanning from multi-modal sensor data to textual resources. We wish to integrate such algorithms into applications across different domains, such as manufacturing and mobility.

We expect the intern to perform implementation and evaluation of various methods, inspired by his/her own insights, team discussion, and contemporary academic literature. Viable methods may comprise semantic technologies, with a focus on scalable knowledge graphs; machine learning, including large language/multi-modal models; cognitive architectures, especially those adhering to the common model of cognition, such as act-r. Regardless of the methods, the intern must understand the relevant challenges of developing decision support systems for real-world use cases.

Over the last few years, together with our faculty collaborators in the School of Computer Science at Carnegie Mellon University, and in the Information Sciences Institute at University of Southern California, we have made several key developments that we expect the prospective intern to leverage and extend.

The final, key component of the internship is scientific contribution: the prospective intern is expected to work with teammates to publish a high-quality research paper in a major conference (AAAI, IJCAI, ECAI, ISWC, ESWC, ACL, NAACL, COLING-LREC, EMNLP, etc.)

Qualifications


  • Strong background in neuro-symbolic AI
  • Experience in cognitive architectures (especially Python implementations)
  • Experience with knowledge graph technologies, including embedding models
  • Experience with large language and multimodal models
  • Experience with data acquisition/manipulation/transformation
  • (Plus) Familiarity with decision science and decision support systems
  • (Plus) Front-end development (e.g., JavaScript)

Other Requirements

  • Degree Level: doctoral or post-doctoral
  • Major: Computer Science (or related)

Tasks

  • Perform extensive state of the art review
  • Generate a research plan, detailing intended approaches and evaluation methods
  • Implement, apply, and evaluate cognitive neuro-symbolic algorithms
  • Present related work and research progress to colleagues, on a weekly basis
  • Summarize findings as a research paper (required)
  • Formalize findings as contribution to patent filing (if applicable)

Additional Information

The U.S. base salary range for this intern position is $30.00-$58.00 per hour. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)

  • FIRST Robotics (For Inspiration and Recognition of Science and Technology)
  • AWIM (A World In Motion)

Top Skills

Python
The Company
HQ: Gerlingen-Schillerhöhe
166,834 Employees
Remote Workplace
Year Founded: 1886

What We Do

The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology.

As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”

The Bosch Group comprises Robert Bosch GmbH and its roughly 440 subsidiary and regional companies in some 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral since the first quarter of 2020. The basis for the company’s future growth is its innovative strength. At 128 locations across the globe, Bosch employs some 76,100 associates in research and development, of which more than 38,000 are software engineers.

Instagram: https://www.instagram.com/boschglobal/
Facebook: https://www.facebook.com/BoschGlobal
Twitter: https://www.twitter.com/BoschGlobal
Glassdoor: https://bit.ly/3raTZnH

Imprint: www.bosch.com/corporate-information
Privacy statement: www.bosch.com/data-protection-notice

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