Research Fellow in Responsible AI for Translation
Explore ethical AI translation systems and their societal impact at the University of Southampton.
Best for:Best for AI researchers with expertise in responsible AI, translation systems, and ethical considerations in machine learning.
Overview
This Research Fellow position focuses on advancing responsible AI in translation technologies within the Faculty of Engineering and Physical Sciences at the University of Southampton. The role involves developing and evaluating AI models that prioritize fairness, transparency, and accountability in translation outputs. The successful candidate will contribute to research on mitigating biases, ensuring cultural sensitivity, and addressing ethical concerns in AI-driven translation systems. The position is ideal for researchers with expertise in AI ethics, natural language processing, and responsible machine learning. Collaboration with interdisciplinary teams and engagement with stakeholders will be key aspects of the role.
What you'll do
- Develop and evaluate AI translation models that prioritize fairness, transparency, and accountability.
- Conduct research on identifying and mitigating biases in AI-driven translation systems.
- Collaborate with interdisciplinary teams to address ethical concerns in AI technologies.
- Engage with stakeholders to ensure responsible deployment of AI translation systems.
- Publish findings in peer-reviewed journals and present research at conferences.
- Contribute to the development of best practices for responsible AI in translation.
- Participate in workshops and training sessions focused on AI ethics and responsible innovation.
Requirements
Degree required: PhD in Computer Science, Artificial Intelligence, Linguistics, or a related field
Language: English; proficiency required for research and communication
Instruction: English
- Expertise in AI ethics and responsible machine learning
- Strong background in natural language processing (NLP) and machine translation
- Experience with bias detection and mitigation techniques in AI systems
- Proficiency in programming languages such as Python
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch)
- Ability to conduct rigorous research and publish findings
- No specific eligibility restrictions mentioned beyond academic qualifications
Funding & terms
How to apply
Applicants should follow the application instructions provided on the University of Southampton’s job portal. The process typically involves submitting a CV, cover letter, and research statement. Additional documents may be requested depending on the role.
- CV
- Cover letter
- Research statement
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