Postdoc Position in Image Processing of High-Dimensional Brain Imaging Data (Royal Institute of Technology School of Engineering Sciences in Chemistry, Biotechnology and Health )

Postdoc Position in Image Processing of High-Dimensional Brain Imaging Data School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH 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. Job description The Department of Biomedical Engineering and Health Systems at KTH is recruiting a two-year post-doctoral fellow in Image processing of high-dimensional brain imaging data. Medical imaging modalities such as Magnetic Resonance Imaging (MRI) often produce complex image data in vector or tensor format, e.g. diffusion tensor MRI or functional MRI. For the computationally demanding post-processing of such data, we use modern machine learning techniques like convolutional neural networks, graph convolutional networks and reinforcement learning. This project will deal with developing, adapting and applying such techniques to imaging data from patients with neurodegenerative diseases, available to us thanks to our close cooperation with Karolinska Institute. dBRAIN is an interdisciplinary initiative at KTH to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine brain imaging, machine learning, topological data analysis and computational modelling of biological neuronal networks at multiple scales to identify causal links among disease biomarkers and disease symptoms. This understanding should improve diagnosis, prediction of the disease progression and suggest better therapies. The position is financed by Digital Futures 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 Stimulating cross-disciplinary collaboration within the dBRAIN team, including technical as well as medical expertise 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, 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). The candidate must have a strong background in at least one of the following areas: neuroimaging including connectomics, medical image processing, machine learning or a similar subject. Proficiency in English orally and in writing is required to present and publish research results. Preferred qualifications We prefer a candidate with: Strong research qualifications Good programming skills, in particular with libraries used for deep learning Collaborative abilities Experience of working in a cross-disciplinary setting Independence 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 of two reference persons. We reserve the right to contact references only for selected candidates 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. 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 Temporary position longer than 6 months Contract type Full time First day of employment 2021-09-01 or by agreement Salary Monthly salary Number of positions 1 Working hours 100% City Huddinge County Stockholms län Country Sweden Reference number C-2021-0548 Contact Örjan Smedby, orsme@kth.se Rodrigo Moreno, rodmore@kth.se Published 31.Mar.2021 Last application date 30.Apr.2021 11:59 PM CET If you apply for this position please say you saw it on Medicinoxy

Postdoc Position in Image Processing of High-Dimensional Brain Imaging Data

School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH

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.

Job description

The Department of Biomedical Engineering and Health Systems at KTH is recruiting a two-year post-doctoral fellow in Image processing of high-dimensional brain imaging data.

Medical imaging modalities such as Magnetic Resonance Imaging (MRI) often produce complex image data in vector or tensor format, e.g. diffusion tensor MRI or functional MRI. For the computationally demanding post-processing of such data, we use modern machine learning techniques like convolutional neural networks, graph convolutional networks and reinforcement learning. This project will deal with developing, adapting and applying such techniques to imaging data from patients with neurodegenerative diseases, available to us thanks to our close cooperation with Karolinska Institute.

dBRAIN is an interdisciplinary initiative at KTH to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine brain imaging, machine learning, topological data analysis and computational modelling of biological neuronal networks at multiple scales to identify causal links among disease biomarkers and disease symptoms. This understanding should improve diagnosis, prediction of the disease progression and suggest better therapies.

The position is financed by Digital Futures

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
Stimulating cross-disciplinary collaboration within the dBRAIN team, including technical as well as medical expertise
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, 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).
The candidate must have a strong background in at least one of the following areas: neuroimaging including connectomics, medical image processing, machine learning or a similar subject.
Proficiency in English orally and in writing is required to present and publish research results.

Preferred qualifications

We prefer a candidate with:

Strong research qualifications
Good programming skills, in particular with libraries used for deep learning
Collaborative abilities
Experience of working in a cross-disciplinary setting
Independence
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 of two reference persons. We reserve the right to contact references only for selected candidates

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.

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 Temporary position longer than 6 months
Contract type Full time
First day of employment 2021-09-01 or by agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Huddinge
County Stockholms län
Country Sweden
Reference number C-2021-0548
Contact
Örjan Smedby, orsme@kth.se
Rodrigo Moreno, rodmore@kth.se
Published 31.Mar.2021
Last application date 30.Apr.2021 11:59 PM CET