Research FellowApplications Closed
Louis Marti
Dayton, Ohio
Apply by Sep 26, 2025
Application deadline
Sep 26, 2025
Job
Job location
Louis Marti
Dayton, Ohio
Geocoding in progress.
Source: legacy
Quick Information
Application Deadline
Sep 26, 2025
Start Date
Flexible
Education Required
See description
Experience Level
Not specified
Job
Job location
Louis Marti
Job Description
We currently have an opening for a full-time Senior Human-Computer Interaction Researcher whose work seeks to incorporate recent advances in generative large language models (LLMs). Specific research areas of interest include human-machine dialogue, human-AI alignment, trust (and over-trust) in AI, and the use of multimodal generative AI approaches in conjunction with other tools and techniques (e.g., virtual and/or augmented reality) to accelerate learning in real-world task environments. Additional related projects underway at Kairos involve the integration of generative AI into interactive dashboards for visualizing and interrogating social media narratives. The Human-Computer Interaction Researcher will play a significant role in supporting our growing body of work with DARPA, Special Operations Command, the Air Force Research Laboratory, and other federal sponsors.
Requirements
- REQUIRED: US citizenship or green card. Ph.D. in Human-Computer Interaction
- Cognitive Science
- Computer Science
- Linguistics
- or related discipline. 3+ years direct research experience post-Ph.D. Willingness and ability to obtain independent research funding. Strong publication record as lead author or senior author in high-impact journals/conferences. Excellent written and oral presentation skills. Other Preferred Skills: Experience with 1) deep learning
- as well as common associated frameworks (e.g. PyTorch or TensorFlow) and 2) NLP
- employing established toolsets (e.g. spaCy
- nltk
- gensim). Familiarity with common tools
- frameworks
- and services for building
- testing
- and evaluating generative AI
- especially LLMs (e.g.
- HuggingFace
- LangChain
- OpenAI). Experience utilizing contemporary LLM frameworks for learning and inference
- including supervised fine-tuning LLMs
- as well as transformer reinforcement learning (e.g.
- reinforcement learning with human feedback (RLHF)
- direct preference optimization (DPO)). Expertise in evaluating AI alignment/misalignment
- diagnosing possible sources of bias
- and deploying strategies to address or mitigate poor alignment.
Job
Job location
Louis Marti
Coordinates pending.