Postdoc in Interpretable Machine Learning - Hiring in process/Finished, not possible to apply

Job description

Machine learning algorithms are currently being used in many high-stakes decision-making processes, such as in medical and legal applications. In these domains, besides accuracy, machine learning implementations are also subject to requirements on trust, privacy, unbiasedness, interpretability, transparency, and accountability, among others.

This postdoc position will involve the development of machine learning methods that account for these diverse requirements. The work will focus mostly on dynamical systems, and consider, for example, the design of computer-intensive algorithms for optimal estimation of models for such systems, subject to the aforementioned constraints, and the determination of internal models used by agents or controllers acting on a dynamical system, in order to exploit them for learning optimal, interpretable agents.

This postdoc position is part of an interdisciplinary collaborative project, funded by the Strategic Research Environments Digital Futures, which involves KTH, RISE and Stockholm University. The project involves the development of explainable machine learning techniques to analyze healthcare data and provide diagnosis and recommendations of treatments for patients. This goal lies at the intersection of several disciplines, including machine learning (inverse reinforcement learning), time series analysis, privacy and trust (from a legal perspective) and how humans understand and interpret data.

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
• Works 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, within the areas of mathematical systems theory, control, signal processing and/or theoretical machine learning. The degree needs to be obtained within the last three years prior to the application deadline (with some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
• Research expertise, with strong publication records
• Strong mathematical skills
• Collaborative abilities
• Independence

Preferred qualifications

• Teaching 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 at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to 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.
• Contact information for three references.

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.