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International PhD Student Position in Deep Learning/Computer Vision/Computational Biology for Bioimage Analysis

Austrian Science Fund FWF is inviting International PhD Student Position in Deep Learning/Computer Vision/Computational Biology for Bioimage Analysis for the academic session 2024/2025.

To be eligible for this PhD position at the St. Anna Children’s Cancer Research Institute, candidates must hold or be nearing completion of an MSc degree in bioinformatics, systems biology, computer science, or a related field. They should have a strong background in molecular and cancer biology, experience with NGS or bioimage analysis, and proficiency in machine learning, particularly in computer vision.

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The Austrian Science Fund (FWF) is Austria’s central funding organization for basic research. It supports innovative research projects across all disciplines, aiming to advance knowledge and foster scientific excellence. By providing competitive grants, the FWF enables researchers to pursue groundbreaking studies, promote collaboration, and contribute to the global scientific community.

Application Deadline: 30 September 2024

Brief Description

  • University or Organization: Austrian Science Fund (FWF)
  • Department: Taschner-Mandl Lab
  • Course Level: PhD
  • Award: Salary package according to Austrian Science Fund FWF
  • Access Mode: Online
  • Number of Awards: 1
  • Nationality: Open to all
  • The award can be taken in the: Austria

Eligibility

  • Eligible Countries: Open to international applicants
  • Acceptable Course or Subjects: The scholarship is awarded in the fields of bioinformatics, systems biology, computer science, and related areas
  • Admissible Criteria: To be eligible, applicants must:
  • Hold or be in the final stages of obtaining an MSc degree in bioinformatics, systems biology, computer science, or related fields
  • Have a background in molecular and cancer biology
  • Demonstrate experience in NGS, bioimage, or spatial tissue analysis
  • Possess a solid understanding of statistics and mathematical principles
  • Show proven experience in machine learning and deep learning, especially computer vision
  • Be skilled in maintaining code repositories and proficient in deep learning libraries such as PyTorch or TensorFlow

How to Apply

To apply for the studentship, students must submit the online application form. Applicants should submit their Curriculum Vitae, a cover letter, the contact details of three references, and a link to their GitHub profile (if available).

Benefits

  • A challenging and meaningful role in an international environment
  • Access to state-of-the-art infrastructure and flexible working hours
  • Attractive salary package and additional benefits
  • Great location in Vienna, known for its high quality of life and excellence in biomedical research

Apply Now