Eligible candidates must have completed a PhD in Computer Science, Electrical Engineering, or a related field, with strong expertise in Deep Learning and related areas. The scholarship is open to international applicants and provides a unique opportunity to collaborate with leading researchers in a stimulating academic environment.

Umeå University is a renowned institution known for its commitment to high-quality research and education. Established in 1965, the university has grown to become one of Sweden’s leading universities, offering a wide range of undergraduate, master’s, and doctoral programs. It boasts a vibrant academic community with a strong emphasis on interdisciplinary research and innovation.

Application Deadline: 30 June 2024

Brief Description

• University or Organization: Umeå University
• Department: Applied Physics and Electronics
• Course Level: Postdoctoral
• Award: 672,000 SEK (336,000 SEK per year)
• Access Mode: Online
• Number of Awards: 1
• Nationality: International
• The Award Can Be Taken In: Sweden

Eligibility

• Eligible Countries: All
• Acceptable Course or Subjects: The scholarship will be awarded in any subject offered by the Department of Applied Physics and Electronics at Umeå University.
• Admissible Criteria: To be eligible, the applicants must meet all the following criteria:
• Completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree by the time of the scholarship decision.
• Priority will be given to candidates who completed their doctoral degree no later than three years prior to the application. Special considerations will be given for reasons such as illness, parental leave, trade union appointments, military service, or other relevant circumstances.
• A Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Strong background in Deep Learning, with expertise in areas such as computer vision, machine learning, or perception.
• Solid programming skills in languages such as Python, including popular frameworks such as TensorFlow or PyTorch.
• Experience working with the entire data chain for machine learning systems, from databases to state-of-the-art models and training methods, to evaluation and compilation of experiment results.
• Good oral and written skills in English.
• Ability to conduct research independently and collaboratively in a research team.

How to Apply

Applicants must submit the following required documents:

• A personal letter in which you describe previous research experience, outlining your research interests, and how they align with the position (max 3 pages)
• Curriculum vitae (CV) with publication list,
• Copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained,
• Copies of other diplomas, list of completed academic courses and grades,
• Copy of doctoral thesis and up to 5 relevant publications,
• Other documents that the applicant wishes to claim.

References will be requested before a potential interview.

Submit your application as a PDF marked with the reference number FS 2.1.7-931-24, both in the file name and in the subject field of the email, to [email protected].

Benefits

• Conduct cutting-edge research in Deep Learning for Real-Time Perception within the context of safety-critical systems.
• Design and implement innovative algorithms and models to enhance the perception capabilities of autonomous vehicles.
• Collaborate with other team members to develop and evaluate novel approaches in real-time streaming perception, cooperative perception, and related areas.
• Publish research findings in top-tier conferences and journals.
• Present research progress and results to the research group and relevant stakeholders.

Application Process: A full application should include:

• Personal letter describing previous research experience, outlining your research interests, and how they align with the position (max 3 pages).
• Curriculum vitae (CV) with publication list.
• Copy of doctoral degree certificate or documentation clarifying when the degree is expected to be obtained.
• Copies of other diplomas, list of completed academic courses and grades.
• Copy of doctoral thesis and up to 5 relevant publications.
• Other documents that the applicant wishes to claim.
• References will be requested before a potential interview.

Submit your application as a PDF marked with the reference number FS 2.1.7-931-24, both in the file name and in the subject field of the email, to [email protected]. The application can be written in English or Swedish. The application deadline is 30 June 2024.

Further Information: For more details, contact Professor Zonghua Gu ([email protected]) and Professor Thomas Olofsson ([email protected]).

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