PhD Student: Neural Data Analysis for Disease Prediction

Lunds Universitet; Lunds kommun; On-site; SEK 357,120 - 401,760; Full time

Benefits offered by this job

Parental leave support

Training and wellness programs

Pedagogical skill development

Job summary

Lund University is seeking a doctoral student to analyze neural population activity to predict neurological disease. The role combines doctoral studies with employment at the university, emphasizing cross-disciplinary neurophysiology and advanced mathematical analyses.

The position is a four-year fixed-term on-site assignment in Lund, with opportunities to teach up to 20% of work time and to collaborate with a network of European researchers and industry partners.

Qualifications

• A second-cycle degree with substantial credits as defined in the ad.
• Strong background in computer science, mathematics or physics.
• Ability to work independently and cooperate.

Responsibilities

• Dedicate to doctoral studies and to be employed at Lund University.
• Contribute to neurophysiological research to improve predictions of epilepsy, Parkinson and other diseases; participate in teaching up to 20% of work hours.

Skills

Neurophysiology

Mathematics

Computer science

Physics

Linear algebra

Multidimensional analysis

Independent work

Team cooperation

Education

Second-cycle degree (240 credits)

Civil engineering/CS/Math/Physics degree

Job description

Lund University is seeking a doctoral student to analyze neural population activity to predict neurological disease. The role combines doctoral studies with employment at the university, emphasizing cross-disciplinary neurophysiology and advanced mathematical analyses.

The position is a four-year fixed-term on-site assignment in Lund, with opportunities to teach up to 20% of work time and to collaborate with a network of European researchers and industry partners.