Publisher
source

Søren Hauberg

10 months ago

Postdoctoral Position in Bayesian Deep Learning and Numerical Linear Algebra at Technical University of Denmark Technical University of Denmark in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

No explicit funding details are provided in the post. Typically, postdoctoral positions at DTU are fully funded, but applicants should consult the official job posting for precise information regarding salary, benefits, and funding structure.

Deadline

Expired

Country flag

Country

Denmark

University

Technical University of Denmark

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Keywords

Computer Science
Machine Learning
Deep Learning
Mathematics
Linear Algebra
Differential Geometry
Team Science
Statistics

About this position

The Technical University of Denmark (DTU) is seeking a postdoctoral researcher to join Professor Søren Hauberg's group in the field of Bayesian deep learning. The position focuses on advanced topics such as Bayesian models, deep learning, large-scale numerical linear algebra, and differential geometry. The ideal candidate will have a strong background in these areas and a passion for collaborative, team-based research. The group values a supportive and cooperative work environment, emphasizing teamwork and shared scientific progress.

Applicants should hold a PhD in computer science, mathematics, statistics, or a closely related discipline. Experience with Bayesian inference, deep learning frameworks, and numerical methods is highly desirable. The position is based at DTU, a leading technical university in Denmark known for its cutting-edge research in machine learning and artificial intelligence. While the post does not specify funding details, postdoctoral positions at DTU are typically fully funded, offering competitive salaries and benefits. Interested candidates are encouraged to review the official job posting for comprehensive information on funding, eligibility, and application procedures.

To apply, candidates should visit the DTU job portal and submit their application materials as instructed. This is an excellent opportunity for researchers interested in advancing the state of the art in Bayesian deep learning and contributing to a dynamic, collaborative research group at a top European institution.

Funding details

No explicit funding details are provided in the post. Typically, postdoctoral positions at DTU are fully funded, but applicants should consult the official job posting for precise information regarding salary, benefits, and funding structure.

What's required

Applicants should have a PhD in computer science, mathematics, statistics, or a related field. Strong interest and experience in Bayesian models, deep learning, large-scale numerical linear algebra, and differential geometry are required. A collaborative mindset and ability to work as part of a team are essential. No specific GPA or language test requirements are mentioned.

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Professors

Professor in Machine Learning

University Name
Country flag

Denmark

Research Interests

Biostatistics

Statistics

Matrix Theory

Differential Geometry

Cancer Biology