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Doctoral student in machine learning for healthcare

Doctoral student in machine learning for healthcare

Suecia 11 mar. 2021
KTH Royal Institute of Technology

KTH Royal Institute of Technology

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DETALLES DE LA OPORTUNIDAD

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0 $
Universidad Estatal
Área
País anfitrión
Fecha límite
11 mar. 2021
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KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Project description

Third-cycle subject: Electrical Engineering 

We seek a Doctoral student for an interdisciplinary collaborative project, funded by the Strategic Research Environments ICT-TNG and Digital Futures, which involves KTH, RISE and Stockholm University. The project involves the development of novel machine learning methods, based in particular on tools from linear and nonlinear control theory, Markov decision processes and inverse reinforcement learning, to provide interpretable diagnosis and recommendations of treatments for patients, based on healthcare data. The doctoral studies will include the analysis and design of algorithms, and potentially their use on actual healthcare data.

Supervision: The doctoral student will be supervised by: Associate Professor Cristian R. Rojas

What we offer

Eligibility

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

We see it as an advantage if you have a specialization in Automatic Control or Signal Processing and have received your degree within the last two years. Applicants should have an outstanding academic track record, and well developed analytical and problem solving skills, as well as solid mathematical and programming skills. We are looking for a strongly motivated person, who is able to work independently. Good command of English orally and in writing is required to publish and present results at international conferences and in international journals.

After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.

Union representatives

You will find contact information for union representatives on KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

Application

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Applications must include the following elements (preferably as a single PDF file):

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.

 

 

Type of employment: Contract type: First day of employment: Salary: Number of positions: Working hours: City: County: Country: Reference number: Contact: Published: Last application date:

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