Are you interested in working with language models and computer vision, with
the support of competent and friendly colleagues in an international
environment?
A postdoctoral researcher position in Deep Learning with a focus on
Vision-Language Models is available at Uppsala University, Sweden.
Project description
Vision-language models integrate computer vision and natural language
processing techniques to process and generate information that combines both
visual and textual modalities, enabling a more profound understanding of the
content within images and videos. While vision-language models exhibit
promising potential, they are currently in early stages of development.
Effective integration of both modalities (vision and language), and aligning
visual and text embeddings into a cohesive embedding space, continues to pose
significant challenges.
In this project, the successful candidate will conduct basic research and
methods development towards designing efficient vision-language models and
exploring their applications in computer vision. We are looking for a candidate
with a deep learning background and an interest in working on the subject of
vision-language modeling. The application areas of interest will be decided in
a dialogue between the candidate and the supervisor, taking into account the
candidate's interests and research proposal.
Technical keywords for the position include: deep learning, image analysis,
representation learning and language modeling. The position might also include
teaching up to 20% depending on availability and interest.
The selected candidate will work in the Department of Information Technology,
Division of Systems and Control, in Ekta Vats’s group
<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ektavats.se%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C27ad3b03283c497095b508dc59a099e0%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638483794261074236%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C40000%7C%7C%7C&sdata=6nIA2zN1Z0Mbbq1WNf%2BE0Lo9UxybSZAGDWbLHHaOWAs%3D&reserved=0>,
in collaboration with Professor David Sumpter
<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.david-sumpter.com%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C27ad3b03283c497095b508dc59a099e0%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638483794267168205%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C40000%7C%7C%7C&sdata=hFcPB1NeyKZYIvIh8xgrEeYLfOZ1t%2FggeDjb6A%2Bdg4A%3D&reserved=0>
and the Beijer Laboratory for Artificial Intelligence Research
<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.beijerstiftelsen.se%2Fen%2Fpartners%2Fthe-beijer-laboratory-ai-research&data=05%7C02%7Cuai%40engr.orst.edu%7C27ad3b03283c497095b508dc59a099e0%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638483794267168205%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C40000%7C%7C%7C&sdata=qbsENLcrDnx%2BJD5f9UcxBGOqW6zwOifmfLIuNLuICek%3D&reserved=0>.
Requirements
PhD degree in machine learning, deep learning, computer vision or another
nearby and relevant field. The degree needs to be obtained by the time of the
decision of employment.
The applicant must have a strong background in method development and the use
of machine learning. The ability to make use of deep learning is required.
Publications at leading conferences in machine learning and computer vision is
a strong plus. Good oral and written proficiency in English.
Project description and application link: here
<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jobb.uu.se%2Fdetails%2F%3FpositionId%3D716388%26languageId%3D1&data=05%7C02%7Cuai%40engr.orst.edu%7C27ad3b03283c497095b508dc59a099e0%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638483794267168205%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C40000%7C%7C%7C&sdata=qS%2BYtv6%2BUWE6Vn3Jh%2F22KH0T%2F40SYW%2BSwsFGvvElnhU%3D&reserved=0>.
Please apply by 14th May 2024.
Contact Asst. Prof. Ekta Vats
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with any questions.
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