Research

Everyday Series: 3rd Developer Cohort - Research Enablement Program

Applications Open: September 2025

Cohort Start: Mid October 2025

Duration: 8 weeks

Format: Remote

Program Focus: Creative Research Acceleration with AI Development Tools

Our third cohort is designed for unconventional thinkers who see problems others miss and want to build solutions that don't yet exist. We're seeking final-year students from any research domain who are passionate about pushing boundaries and exploring uncharted territories with AI-powered tools.

Research Domains (All Welcome!)

Physical Sciences - Quantum mechanics, physics, chemistry, materials science

Engineering - Circuit design, mechanical systems, aerospace, biomedical engineering

Life Sciences - Biology, bioinformatics, ecology, neuroscience, genetics

Social Sciences - Psychology, linguistics, anthropology, economics

Arts & Humanities - Digital humanities, music technology, interactive media

Interdisciplinary - Computational social science, digital archaeology, art-science collaborations

Emerging Fields - Climate modeling, space research, synthetic biology

Your Field - If you're researching it, we want to accelerate it

Core Development Stack

Primary Tools

Claude Code - AI-powered command-line development assistant

Everyday Series CLI - Custom scientific workflow automation

Claude API - For building intelligent scientific agents

Python Scientific Stack - NumPy, SciPy, Matplotlib, Pandas

Specialized Libraries - Domain-specific tools (Qiskit, RDKit, SPICE, etc.)

What You'll Build

Research Acceleration Agents - AI assistants that understand your specific domain

Experimental Design Tools - Systems that generate and test hypotheses

Data Discovery Engines - AI that finds patterns in complex datasets

Creative Analysis Platforms - Tools that approach problems from unexpected angles

Cross-Domain Connectors - Agents that bridge different fields of knowledge

Interactive Research Environments - Immersive tools for exploration and discovery

Ideal Candidate is a -

1. Final-year undergraduate or graduate students from any research field:

Physical and life sciences

Engineering disciplines

Social sciences and humanities

Interdisciplinary programs

Emerging research areas

Any field with unsolved problems

1. Technical Requirements

Basic coding knowledge in any language (Python preferred)

Domain expertise in your scientific field

Curiosity about AI tools and automation

Research experience (coursework, projects, or internships)

What We Value Most

Deep curiosity about unexplored problems in your field

Creative problem-solving approach to research challenges

Willingness to experiment with unconventional solutions

Passion for discovery and making the impossible possible

Collaborative spirit and openness to cross-domain learning

Program Structure

Phase 1: Foundations (Weeks 1-2)

Claude Code Mastery - Command-line AI development

ES CLI Training - Scientific workflow automation

Domain Integration - Connecting AI tools to your field

Project Ideation - Identifying high-impact problems

Phase 2: Creative Development (Weeks 3-6)

AI Agent Architecture - Building intelligent research accelerators

Cross-Domain Integration - Connecting diverse fields and methodologies

Experimental Automation - Creating systems that test novel hypotheses

Pattern Discovery Tools - AI that finds connections others miss

Phase 3: Innovation Showcase (Weeks 6-7-8)

Research Breakthrough Projects - Solving previously intractable problems

Performance Optimization - Scaling innovative solutions

Impact Documentation - Measuring and communicating research acceleration

Community Presentation - Sharing your breakthrough discoveries

What You'll Achieve

1. Groundbreaking AI research tools that push your field forward
2. Automated discovery systems that uncover hidden insights
3. Cross-disciplinary platforms connecting different domains
4. Open-source innovations that benefit the global research community
5. Mentorship from pioneering researchers and AI innovators
6. Conference presentations at scientific computing events
7. Early access to latest AI development tools

Application Process

Application Requirements

1. Academic Transcript - Demonstrating scientific domain expertise
2. Research Statement (500 words) - Specific scientific problems you want to solve
3. Coding Sample - Any language, scientific context preferred
4. Domain Project - Brief description of relevant coursework/research
5. Motivation Letter - Why AI agents for scientific computing?

Selection Criteria

Domain expertise depth (40%)

Problem identification clarity (25%)

Technical potential (20%)

Learning motivation (15%)

Timeline

Applications Open: September, 2025

Application Deadline: September 30, 2025

Interviews: On rolling basis

Innovation Examples by Domain

Art-Science Fusion - AI that creates visualizations revealing hidden patterns in research data

Music-Mathematics Bridge - Algorithmic composition tools that solve computational problems through sound

History-Technology Connector - AI agents that find historical precedents for modern technological challenges

Psychology-Architecture AI - Systems that design spaces based on psychological well-being principles

Literature-Data Science - AI that analyzes narrative structures to predict social trends

Sports-Physics Engine - Tools that optimize athletic performance using biomechanical modeling

Boundary-Breaking Tools

Dream-Reality Interface - AI that analyzes sleep patterns to enhance creative problem-solving

Emotion-Chemistry Mapper - Systems that predict molecular interactions based on emotional response patterns

Time-Series Philosophy - AI that applies philosophical frameworks to predict complex system behaviors

Website:

Email: [email protected]

Questions? Email or DM us on LinkedIn.

Everyday Series champions unconventional thinking and boundary-breaking research. We encourage applications from all backgrounds, especially those bringing unique perspectives to unsolved problems. Every brilliant mind deserves the tools to change the world.