Research engineer - Hiring in process/Finished, not possible to apply

Job description

Recent developments in artificial intelligence (AI) allow the application of machine learning for the purpose of recognition, prediction, and detection of clinical conditions and diseases, and personalisation of conversational AI to be used in education and health care. Despite the increasing possibilities to implement AI in health care, algorithmic decision-making in various domains has been shown to result to biases, unfairness and discrimination. Marginalized users from different gender, ethnicity and age groups may be excluded from the data and its usage. The project explores the inclusion and exclusion of age in conversational AI by developing and evaluating the performance of conversational AI models in relation to age-specific topics and concerns. The project aims to develop prompt tests for conversational AI models to measure 1) technical performance of AI model in relation to specific age groups (e.g. young adults aged 18-25 in comparison to older adults aged 65 and over) 2) contextual performance of AI model in relation to age-specific topics, such as responding to empathy, creativity, reasoning and conversation in a manner that is appropriate for the ageing population. The work tasks of the research engineer is to conduct a literature review on the metrics on social bias and inclusion from previous studies, design and develop prompt tests to investigate AI model’s adaptation to age-related topics, perform these tests with three AI models (such as LLaMA, GPT-4 and BLOOM), and report the results together with the research team.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future.
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Work in Stockholm, in close proximity to nature

Read more about what it is like to work at KTH

Requirements

• A graduate degree or an advanced level (higher education) in the research subject or equivalent competence. 

Personal skills

• Goal and result oriented
• Self-sufficient
• Numeric analytic skill
• Problem solving analytic skill

Preferred qualifications

• Master degree in computer science
• Experience and knowledge in computer science, machine learning and programming
• Subject-related skills
• Professional skills
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality
• Collaborative abilities
• Independence

Great emphasis will be placed on personal skills.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

To apply for the position

Log into KTH's recruitment system in order to apply for this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The employment is valid for a limited time according to the agreement - for up to 6 months, with access according to agreement.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.