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JOB DESCRIPTION

GPT-Lab at Tampere University invites applications for 3-5 Doctoral Researcher positions in Generative Artificial Intelligence and Software Engineering. The selected researchers will explore topics at the intersection of Generative AI and Software Engineering, contributing to both theoretical understanding and practical development of AI-enabled software systems.
The positions are located in the Computing Sciences Unit within the Faculty of Information Technology and Communication Sciences at Tampere University. The Unit brings together research and education across all major areas of Information Technology. With expertise in software engineering, machine learning, artificial intelligence, and human-computer interaction, the Unit provides a strong foundation and supportive environment for doctoral studies.

REQUIREMENTS

Applicants must hold a master’s degree (or equivalent) in one of the following (or closely related) fields:

• Computer Science
• Software Engineering
• Data Science
• Artificial Intelligence

Students in the final stages of their master’s degree may also apply, provided they complete their degree by 31 December 2025 and submit proof of completion to the faculty by that date.
The selected candidates must separately apply for the doctoral study rights at Tampere University. Please note that the eligibility requirements for employment and for admission to the doctoral programme are distinct, and only candidates who fulfill the doctoral programme’s criteria will receive the study-right. Read more about admissions and eligibility: Doctoral Programme of Computing and Electrical Engineering.

LANGUAGE SKILLS:

• Excellent oral and written English communication skills.

PREFERRED QUALIFICATIONS (CONSIDERED STRONG MERITS):

• First-author or co-author in peer-reviewed publications in Generative AI, Machine Learning, or Software Engineering.
• Demonstrated software development experience through industrial projects, academic prototypes, or open-source contributions.
• A GitHub/GitLab repository or portfolio showcasing prior work (e.g., code, experiments, prototypes).
• Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Background or interest in: requirements engineering, software testing, software refactoring, or software quality analysis.

OTHER SKILLS:

• Ability to work independently and in international, multidisciplinary teams.

APPLICATION PROCESS:

The recruitment will proceed in four rounds:

• Screening All applications will be reviewed to ensure candidates meet the eligibility criteria outlined in the job description.
• Video Submission Selected applicants will be invited to submit a short self-recorded video introducing themselves and highlighting their motivation for the role.
• Technical Task Top applicants will be asked to complete a role-related task to demonstrate their skills and problem-solving ability.
• Interview Final candidates will be invited to a structured interview before the selection decision is made.

Please refer the Job description for details