AI Research Intern – Neuro-Symbolic AI for Decision Support

Pittsburgh, PA, United States

Internship Entry-level / Junior

Bosch Group

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Company Description

Bosch Research Pittsburgh would like to invite an enthusiastic research intern for investigations at the intersection of Knowledge Representation and Reasoning, Machine Learning. We wish to develop neuro-symbolic algorithms for context understanding based on heterogeneous information at different levels of granularity, spanning from multi-modal sensor data to textual resources. We wish to integrate such algorithms to human-machine-collaboration systems.

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 knowledge graphs and knowledge graph embeddings; machine learning, including statistical and deep neural methods; human-in-the loop approaches. Regardless of the methods, the intern must understand the relevant challenges of developing neuro-symbolic AI-based systems focused on decision support.

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, ECAI, ISWC, ESWC, IJCAI, ACL, NAACL, COLING, EMNLP, LREC, etc.)

Job Description

  • Perform extensive state of the art review
  • Generate a research plan, detailing intended approaches and evaluation methods
  • Implement, apply and evaluate neuro-symbolic algorithms for relevant downstream tasks
  • 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)


  • Strong background in both symbolic and sub-symbolic AI 
  • Extensive experience with knowledge graph technologies, including semantic representation and query languages (RDF, SPARQL), embedding models (e.g., RESCAL, TransE), knowledge engineering platforms (e.g., Stardog)
  • Experience in deep learning model development, using PyTorch
  • Experience with sensor-based data acquisition/manipulation/transformation  
  • Experience with language and multimodal neural models
  • (Preferred) Familiarity with NLP toolkits (e.g., Spacy)
  • (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

  • Location: Pittsburgh, Pennsylvania, United States – remote internships may be possible
  • Start date: May 2023
  • Duration: Typically, 14 weeks (extension possible; subsequent research collaboration encouraged)

Bosch Research and Technology Center North America (CR/RSI1-NA) is dedicated to cutting-edge research and advanced engineering that will shape the future of our company’s products and markets. In particular, Bosch RSI1-NA Pittsburgh labs conduct R&D with a focus on various aspects of the Intelligent Internet of Things, including: the development of complex and secure distributed embedded systems, scene understanding through semantic reasoning and decision-making over wireless sensor/actuator networks, human-machine collaboration.

The U.S. base salary range for this intern position is $29.00 – 56.50 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)

Tags: Computer Science Deep Learning EMNLP Engineering JavaScript Machine Learning Mathematics ML models NLP PyTorch R R&D RDF Research Robotics spaCy Statistics STEM

Region: North America
Country: United States
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