Postdoc in development of digital tutoring in mathematics - Hiring in process/Finished, not possible to apply

Job description

This postdoc position is devoted to research and development of methods that use natural language processing (NLP) to create semi-automated math tutoring chat support. Large language models in combination with machine learning based on previous interactions between tutors and students will be used to automate parts of the tutoring provided to students who connect with their own specific math problems. The postdoc will work in a research project (https://www.digitalfutures.kth.se/research/demonstrator-projects/semi-automated-math-tutoring/) connected to Maths Coach Online (mattecoach.se), which has been offering one-to-one tutoring by teacher students to K-12 students using chat and interactive whiteboard since 2009 and has conducted more than 70,000 tutoring conversations. The project aims to develop and evaluate a demonstrator of semi-automated online math tutoring in which human tutors are combined with automated tutoring. In addition to employing NLP to develop automated tutoring, the postdoc will, together with the project team, conduct randomized controlled trials and thematic comparative analyses of student-automated and student-tutor interaction with the aim of presenting the results in conferences and journals. The employment will include other tasks outside the project (max 20%), such as teaching or pedagogical development, either at the School of Electrical Engineering and Computer Science or the Department of Learning in Engineering Sciences.

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
• Interdisciplinary work with colleagues in digital learning and intelligent systems, as well as the research center Digital Futures
• Work in Stockholm, in close proximity to nature
• Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree, This eligibility requirement must be met no later than the time the employment decision is made.
• Solid experience in programming, preferably within artificial intelligence, machine learning or big data.
• Knowledge in mathematics and/or teaching and learning.
• Knowledge of basic Swedish to be able to work with Swedish interactive dialogues (text-based chats).

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Knowledge of natural language processing or general machine learning.
• Research expertise
• Teaching expertise
• Independence
• Collaborative abilities
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal competency

Trade union representatives

You will find contact information to trade union representatives on KTH's webpage.

Application

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.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

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

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

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

For information about processing of personal data in the recruitment process please read here.

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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.