PhD Student in Scientific Computing: Embark on a research journey in scientific machine learning as a PhD student at Uppsala University. Join the Division of Scientific Computing within the Department of Information Technology, a leading research hub in scientific computing, and contribute to cutting-edge developments in deep learning and Bayesian methods. This international and collaborative environment offers a unique opportunity to delve into simulation-based inference and work on impactful scientific problems.
PhD Student in Scientific Computing – Scientific Machine Learning
Designation: PhD Student
Research Area: Scientific Computing, Scientific Machine Learning, Deep Learning, Bayesian Methods
Location: Uppsala, Sweden
Eligibility/Qualification:
- Master’s degree (second-cycle) in computer science, computational science, applied mathematics, engineering physics, machine learning, data science, or a related field.
- Strong interest in optimization, machine learning, and Bayesian inference.
- Proficiency in oral and written English.
- Excellent study results and programming skills (preferably in Python).
- Additional qualifications in subjects like optimization, probabilistic machine learning, linear algebra, and deep learning are valued.
Job Description:
- Devote time primarily to graduate education.
- Conduct research on learning from noisy datasets using deep learning and Bayesian methods.
- Work on simulation-based inference for expressive, informative features from scientific data.
- Collaborate with the Scientific Machine Learning group, participate in ongoing projects, and contribute to the development of principled foundations in the field.
- Potential involvement in teaching and departmental activities, up to 20% of the time.
How to Apply: Interested candidates must submit:
- Statement of motivation (up to 2 pages) explaining why they are the right candidate for the position.
- CV.
- Degrees and transcript of records with grades (translated to English or Swedish).
- Master’s thesis, publications, or other relevant documents.
- References with contact information (up to two letters of recommendation).
Applicants meeting entry requirements are strongly encouraged to apply. Specify the earliest possible starting date.
Last Date for Apply: April 2, 2024
Note: Applications will be reviewed on a rolling basis. Ensure timely submission.
For further information, contact:
- Assistant Professor Prashant Singh, prashant.singh@scilifelab.uu.se
- Head of Division Emanuel Rubensson, emanuel.rubensson@it.uu.se
Join us at Uppsala University, Sweden, in pushing the boundaries of scientific machine learning and contributing to transformative research in scientific computing.
