Dr. Martin Singull

Professor

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Biography

Professor Martin Singull is the Head of the Division of Applied Mathematics at Linköping University. He earned his Ph.D. in Mathematical Statistics in 2009 and became a full professor in 2020. His research focuses on statistical inference of large, complex, longitudinal datasets, model-based classification, growth curve modeling, and covariance structure estimation. He has supervised numerous Ph.D. students and published extensively on advanced statistical methods and applications in health engineering. Recent projects involve integrating spatial and temporal aspects in repeated measurements to develop machine learning techniques for regression and classification with a particular emphasis on deriving misclassification probabilities.

Research Interests

Statistical Inference Longitudinal Datasets Model-Based Classification Growth Curve Modeling Covariance Structure Estimation Machine Learning

Experience

Head of Division

2021-01-01 — Present

Linköping University • Linköping, Sweden

Leads the Division of Applied Mathematics, overseeing research and educational activities.

Professor

2020-01-01 — Present

Linköping University • Linköping, Sweden

Conducts research and teaches in the field of Mathematical Statistics.

Head of Division

2016-01-01 — 2020-01-01

Linköping University • Linköping, Sweden

Oversaw the Division of Mathematical Statistics.

Associate Professor

2018-01-01 — 2020-01-01

Linköping University • Linköping, Sweden

Engaged in advanced research and instructional responsibilities.

Assistant Professor

2012-01-01 — 2018-01-01

Linköping University • Linköping, Sweden

Participated in teaching and research activities within Mathematical Statistics.

Awards

#

Festschrift Honour

2020-05-01

Requirements for Linköping University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree with a major relevant to the program At least 30 ECTS credits in mathematics/applied mathematics and/or application of mathematics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport/ID
  • Syllabus for relevant courses
Specialization Notes

Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.