PhD Researcher: Data-Efficient Generative ML & Fairness

Linköping University; Norrköpings kommun; On-site; SEK 326,335 - 456,869; Full time

Benefits offered by this job

Diversity and equal opportunities policies

Negotiated salary progression

Job summary

Linköping University in Norrköping is seeking a PhD student to focus on generative modeling for data-efficient machine learning. The position is part of the WASP program, emphasizing research that addresses fairness and privacy.

Ideal candidates will have a Master’s degree in a relevant field and strong programming skills, particularly in Python. The role involves conducting theoretical and applied work, with opportunities for teaching or departmental duties.

Qualifications

• Master’s level education in relevant fields, or equivalent knowledge.
• Fluent communication in oral and written English.
• Strong interest in machine learning and privacy concerns.

Responsibilities

• Conduct research on generative modeling for data-efficient machine learning.
• Participate in the WASP curriculum and collaborate with peers.
• Implement and test machine learning algorithms.

Skills

Programming skills in Python

Knowledge of LaTeX

Version control systems (git)

Understanding of machine learning efficiency

Communication skills in English

Education

Master’s degree in Computer Science, Statistics, Mathematics, or related field

Tools

GNU/Linux systems

Job description

Linköping University in Norrköping is seeking a PhD student to focus on generative modeling for data-efficient machine learning. The position is part of the WASP program, emphasizing research that addresses fairness and privacy.

Ideal candidates will have a Master’s degree in a relevant field and strong programming skills, particularly in Python. The role involves conducting theoretical and applied work, with opportunities for teaching or departmental duties.