Postdoc Position in Brain Function Analysis in Machine Learning, Sweden

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Postdoc Position in Brain Function Analysis: Explore a rewarding opportunity at Luleå University of Technology! We have an open position for a Postdoctoral Researcher in Machine Learning and Brain Function Analysis methods. Join our world-leading research community and contribute to cutting-edge projects with a focus on computational methods for understanding brain function.

Designation: Postdoctoral Researcher

Research Area: Machine Learning and Brain Function Analysis

Location: Lulea

Eligibility/Qualification: To be eligible, you must hold a PhD in computer science, computer engineering, or electrical engineering, with expertise in the specified areas. International research project collaboration experience is desirable. Candidates with a doctoral degree awarded within the last three years will be given preference.

Job Description:

Postdoc Position in Brain Function Analysis in Machine Learning

As a Postdoctoral Researcher, you will primarily engage in innovative research using machine learning and deep learning approaches on biomedical signals, specifically EEG and fMRI data. Under the supervision of Professor Marcus Liwicki and in collaboration with Dr. Debashis Das Chakladar, you will work on EEG/EEG-fMRI tasks, contribute to future projects, and participate in international research collaborations. Teaching and pedagogical development may be included in duties (up to 20% of working hours).

How to Apply: Interested candidates should apply online by clicking the “apply” button below. Submit a CV, personal letter, and copies of verified diplomas from high school and universities. Mark your application with the reference number provided.

Last Date for Apply: Applications close on 29 December 2023.

Table: Qualifications Required

QualificationRequirement
PhD in relevant fieldComputer science, computer engineering, or electrical engineering
Postdoctoral experienceLess than 3 years (preferred)
Experience in international research collaborationDesirable
Proficient knowledge in biomedical signal processingEEG, fMRI, etc.
Language proficiencyGood knowledge of English in speech and writing
Skills in machine learning and deep learningPrioritized

Table: Job Details

LocationLulea
Employment DurationFull-time fixed-term for two years (extendable to three years)
StartingTo be decided upon agreement
Reference Number5313-2023

Table: Contact Information

Contact PersonDr. Debashis Das Chakladar (Email: debashis.das.chakladar@ltu.se, Phone: (+46)920-493404)
SupervisorProfessor Marcus Liwicki (Email: marcus.liwicki@ltu.se, Phone: (+46)920-491006)

Note: We encourage diversity, and female applicants are especially welcome. For union representatives, contact SACO-S Kjell Johansson or OFR-S Lars Frisk. Applications must be in English or Swedish.

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