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, EMNLP, COLING-LREC, etc.)

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)

Qualifications

• Strong background in neuro-symbolic AI
• Experience in cognitive architectures
• 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)

Additional Information

• On-site Internship
• Duration : 14 weeks, 40 hours/week

The U.S. base salary range for this intern position is $36.00-$58.00 hourly. 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)