Research FellowApplications Closed

Brandon (Brad) Minnery

Dayton, Ohio

Position Details

Apply by Sep 26, 2025

Research Fellow

Dayton, Ohio

Application deadline

Sep 26, 2025

Job

Job location

Geocoding

Dayton, Ohio

Quick Information

Application Deadline

Sep 26, 2025

Start Date

Flexible

Education Required

See description

Experience Level

—

Job

Job location

Geocoding

Dayton, Ohio

Map

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.