Explainable AI Developer

5 days ago


Stockholm, Stockholm, Sweden Karlstad University Full time

KTH Royal Institute of Technology in Stockholm is seeking a highly qualified and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering.

Job Description

The PhD student will join a research team led by Professor Aristides Gionis, focusing on developing novel methods to extract knowledge from data, modeling large-scale complex systems, and exploring new application areas in data science.

Responsibilities include conducting research in machine learning with a focus on explainable clustering, collaborating with the research team to develop novel methods for extracting knowledge from data, and modeling large-scale complex systems and exploring new application areas in data science.

Key qualifications include a Master of Science degree in computer science, data science, or a related area, a strong background in algorithmic design, data mining, machine learning, and combinatorial optimization, and excellent communication and collaboration skills.

Selection Criteria

Candidates will be assessed on their ability to independently pursue their work, collaborate with others, have a professional approach, analyze and work with complex issues, demonstrate good communication skills, and be proficient in communicating in English, spoken and written.

Applicants must also demonstrate strong implementation skills, experience with managing large-scale data, and proficiency in programming languages such as Python or R.



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