Research engineer in Machine Learning—Theoretically motivated deep learning - Hiring in process/Finished, not possible to apply

Job description

At the Division of Computational Science and Technology at KTH Royal Institute of Technology we are developing deep learning methods that handle scaling transformations in image data in a theoretically well-founded manner, see https://www.kth.se/profile/tony/page/deep-networks for examples of our earlier work.

We are seeking a research engineer to participate in this research by developing new network architectures and perform systematic experiments with these. The work comprises generating data sets that test scaling variations in testing data that are not spanned by training data, and investigating how other prior knowledge to the networks can make them generalise to new scales that are not spanned by the training data.

As requirements to the position, you are expected to have good knowledge of and being able to work independently with modern frameworks for deep learning, preferably PyTorch.

You are also expected to have good basic knowledge in mathematics to model convolution operations on continuous image data. A suitable background could be studies in engineering physics or computer science.

The work can be done full time or part time, according to agreement. The employment is to last 3 months but there might be possibilities for prolongation

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
• Help to relocate and get settled in Sweden and at KTH.

Read more about what it is like to work at KTH

Qualifications

Requirements

• A graduate degree or an advanced level (higher education) in the research subject or equivalent competence. 
• Good knowledge of English both in writing and vocally since it is needed in order to perform the work tasks

Preferred qualifications

Knowledge and skills that are meritorious for the position

• Subject-related skills
• Professional skills
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality
• Collaborative abilities
• Independence

As a person, you have good knowledge about structured programming in Python, preferably in PyTorch. Furthermore, you should have good collaboration skills in combination with independence, with very good ability to familiarize yourself with new scientific theories and conduct implementations and experimental evaluations in close collaboration with the research environment you are working in. Awareness of diversity and equal opportunity issues, with specific focus on gender equality is also important.

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.

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 3 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

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

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

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