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Position: Postdoc in Machine learning applied to brain activity data
Institution: KTH Royal Institute of Technology
Location: Stockholm, Stockholm County, Sweden
Duties: We combine brain imaging, machine learning, topological data analysis and computational modelling of biological neural 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 project will entail analysis of neural data. We are currently analyzing data from Parkinson’s patients (eye-tracking, MEG) and extracting features to be used for disease diagnostics and prediction. The candidate will work in close collaboration with other postdocs and PIs in the consortium
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); We are looking for candidates with a PhD in any of the following disciplines: Machine Learning, Computational Neuroscience, Computer Science, Physics or similar; Previous experience in machine learning analysis of data is essential; Ability to collaborate and communicate with the members of the consortium is essential
   
Text: Skip to main content About KTH Student Alumni Staff KTH på svenska Home Studies Research Co-operation About KTH Library Search the KTH websiteSearch KTH About KTH Work at KTH Vacancies Denna sida på svenska Choose category... TeachersResearchers, research engineers and postdocsPh.D. student employmentsTechnical, administrative and service personnel Postdoc in Machine learning applied to brain activity data Login and apply School of Electrical Engineering and Computer Science 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 dBRAIN is an interdisciplinary initiative 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 neural 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. More information about dBRAIN https://www.digitalfutures.kth.se/research/current-research-projects/dbrain/ The project will entail analysis of neural data. We are currently analyzing data from Parkinson’s patients (eye-tracking, MEG) and extracting features to be used for disease diagnostics and prediction. The candidate will work in close collaboration with other postdocs and PIs in the consortium. 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 An interdisciplinary working environment where candidates will have an opportunity to develop new complementary skills. An opportunity to work on a project that has a genuine chance to influence clinical practices and improve quality of life of patients. A large community of neuroscientists, mathematicians, computational modelers and machine learning experts to network with. 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). We are looking for candidates with a PhD in any of the following disciplines: Machine Learning, Computational Neuroscience, Computer Science, Physics or similar. Previous experience in machine learning analysis of data is essential. Ability to collaborate and communicate with the members of the consortium is essential. Preferred qualifications Knowledge and skills that are meritorious for the position: Research expertise Teaching abilities Awareness of diversity and equal opportunity issues, with specific focus on gender equality Collaborative abilities Independence Previous experience in dynamic modeling of neural activity is desirable The preferred candidates should also have demonstrated expertise (through publications) in any one of the following Expertise in analysis of multi-dimensional and multi-scale temporal data e.g. neural activity or neuronal protein data Dynamic modelling of biophysically and morphologically detailed neurons and synapses 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. Brief summary of previous work. (Max 2 A4 pages in legible font size). A statement of why you are interested in and suitable for this position (Max 2 A4 pages in legible font size). Contact details of two academic referees. Information of when you would be able to start the employment. 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 According to agreement Salary Monthly salary Number of positions 1 Working hours 100% City Stockholm County Stockholms län Country Sweden Reference number J-2021-2273 Contact Erik Fransén, Professor, erikf@kth.se Natasha Kapama, HR, kapama@kth.se Published 22.Sep.2021 Last application date 01.Nov.2021 11:59 PM CET Login and apply Return to job vacancies We are using cookies for login, improved user experience and share links. 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