PhD Student in Adaptive Neural Networks: Uppsala University is inviting applications for a PhD position in Adaptive Neural Networks for Deep Learning. This opportunity is ideal for candidates interested in innovative network structures and learning strategies within the field of deep learning and image analysis.
PhD Student in Adaptive Neural Networks for Deep Learning
Designation
PhD Student
Table
| Field | Details |
|---|---|
| Research Area | Adaptive Neural Networks, Deep Learning |
| Location | Uppsala University, Sweden |
| Eligibility/Qualification | Master’s degree in relevant field or equivalent experience |
| Last Date to Apply | 21 January 2025 |
Research Area
The research will focus on the theoretical, numerical, and practical aspects of neural network architecture changes, contributing to advancements in deep learning and image analysis.
Location
Uppsala University, Uppsala, Sweden
Eligibility/Qualification
Candidates must meet one of the following criteria:
- Hold a Master’s (second-cycle) degree in computer science, engineering, data sciences, applied mathematics, machine learning, or a closely related field.
- Have completed at least 240 credits in higher education, including at least 60 credits at the Master’s level with a substantial independent project.
- Possess equivalent knowledge acquired through other means.
Additional Qualifications:
- Strong computational and analytical background.
- Proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow.
- Excellent communication skills in English.
- Desired: Knowledge of calculus, linear algebra, optimization, probability theory, and numerical methods; familiarity with Matlab is an advantage.
Description
The candidate will be involved in basic research and methodological development geared towards designing and implementing novel computational models and solutions. The role includes both theoretical study and practical application, including testing developed methods on toy examples and in computer vision applications. The doctoral student is expected to dedicate their time primarily to graduate education with some involvement in teaching assistance and administrative tasks.
How to Apply
Applicants must submit the following documents:
- A CV
- Degrees and transcripts indicating grades and course names in English or Swedish
- A short cover letter (max one page) including:
- Earliest possible start date
- A list of three major academic or scientific achievements
- A reading sample (Master’s thesis or another scientific text)
- Contact details of at least two references
Applications should be submitted via Uppsala University’s recruitment system.
Last Date to Apply
21 January 2025
For further information about the position, interested candidates can contact Prof. Orcun Göksel at orcun.goksel@it.uu.se.
