Dr. Yuxia Wang’s Fully Funded PhD Fellowship in Human-Aligned AI

INSAIT at Sofia

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Description

A remarkable opportunity has opened for future-focused researchers to pursue a fully funded PhD fellowship under the mentorship of Dr. Yuxia Wang at INSAIT, Bulgaria’s leading AI research institute. This fellowship is designed for those passionate about building safer, more ethical, and emotionally aware AI systems that align with human values. The position centers on trustworthy human-AI interaction, emphasizing innovation in large language models (LLMs), low-resource AI development, and AI safety mechanisms. 

Responsibilities

Research Domains

• AI Reliability & Truthfulness – Minimizing hallucination and enhancing logical reasoning in AI systems
• Empathy in AI – Building emotionally aware models that engage with users ethically
• Inclusive AI for Low-Resource Languages – Enabling intelligent systems to serve underrepresented linguistic communities
• Content Integrity Tools – Developing AI tools for misinformation detection and truth verification 

Fellowship Features

1. Complete Funding Package – Tuition is covered along with a competitive monthly stipend
2. Frontline Research – Focus on LLM optimization, factual alignment, and AI safety
3. Global Research Ties – Collaborate with MBZUAI (UAE), top labs, and academic institutions
4. Professional Growth – Opportunities for conference participation, publishing, and hands-on mentorship 

Qualification

Who Should Apply?

Applicants with the following qualifications will be given strong consideration:

• Academic foundation in Computer Science, AI, Natural Language Processing, or similar (Master’s preferred)
• Hands-on experience with machine learning platforms such as PyTorch or TensorFlow
• Evidence of research capabilities – publications, academic projects, or thesis work
• A genuine interest in ethical AI design and the development of human-aligned technologies 

Application Process

1. Document Preparation – Submit a current CV, academic transcripts, and a one-page research statement
2. Showcase Past Work – Include GitHub links, published papers, or thesis abstracts
3. Apply via Email – Send all materials to [insert email address] with the subject: "PhD Application – [Your Full Name]"
4. Interview Round – Shortlisted candidates will be invited for an online discussion

Application Timeline: Rolling applications; early submissions will receive priority evaluation.

Why Join This Research Group?

• Expert Leadership – Dr. Wang is widely recognized for her contributions to human-AI interaction and ethical AI development
• Meaningful Research – Engage in projects with real-world social and technological impact
• Strategic Location – Conduct research at INSAIT, a cutting-edge institute partnered with ETH Zurich, Google, and other major players in AI 

Ready to Build the Future of Responsible AI?
If your ambition lies in transforming the way AI interacts with humans - factually, safely, and empathetically - then this is the fellowship for you. Join a thriving research environment and help redefine the next generation of intelligent systems.

Apply Today and Become a Pioneer in Human-Centered AI. 

For more information, please visit this link.