Research Associate in Artificial Intelligence

• Conduct high-impact research in specialized AI domains (NLP, LLM, or Institutional Intelligence).
• Teach one undergraduate or graduate course per semester.
• Supervise/Co-advise at least one graduate (Master's or PhD) student.
• Collaborate with the software engineering team to integrate AI models into the Campus Information System (CIS).
• Prepare and submit research grants (TÜBİTAK, Horizon Europe, or any other national or international funding agencies).
• Manage the lab's shared multi-node GPU computing infrastructure, including network topology and system administration.
• Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong publication record in top-tier AI conferences or journals.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Experience in developing LLM-based applications or predictive modeling is a plus.
• Familiarity with distributed GPU computing, cluster networking, and server/Linux administration is a plus

Candidates should possess a strong, forward-looking research philosophy focused on significant innovations in artificial intelligence, particularly in the areas of NLP, LLM, and predictive analytics. We prefer candidates whose research approach combines robust academic knowledge with practical implementation and can easily translate theoretical AI models into tangible applications (such as institutional software integration).

• Attractive Salary: Competitive and highly rewarding compensation package.
• Health Insurance: Comprehensive private supplementary health insurance.
• Social Security: Full SGK (Government Social Security) coverage and benefits.
• Accommodation: Fully furnished apartment.
• Research Support: Access to high-performance computing resources and conference funding.

Applications, including the candidate's CV, cover letter, and research summary, should be sent to ik.mdbf@izu.edu.tr