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Postdoctoral Researcher in Deep Learning-Based Functional Annotation at BASF and Ghent University 2018

Postdoctoral Researcher in Deep Learning-Based Functional Annotation at BASF and Ghent University are open apply now. The Ghent University is seeking a highly motivated and critical full-time researcher position in the deep learning-based functional annotation at BASF and Ghent University.

The Ghent University is a top 100 university and one of the major universities in Belgium. Our 11 faculties offer a wide range of courses and conduct in-depth research in both exact and social sciences. Ghent University aims to encourage its students to adopt a critical approach within a creative, development-oriented educational and research environment.

Postdoctoral Researcher in Deep Learning-Based Functional Annotation at BASF and Ghent University Description:

  • Application Deadline: September 28, 2018
  • Course Level: Grants are available to pursue the researcher program.
  • Study Subject: Full-Time researcher position in the deep learning-based functional annotation at BASF and Ghent University.
  • Number of Scholarships: Not known
  • Nationality: Grant is Available for Belgian students.
  • Scholarship can be taken in Belgium

Eligibility for the Postdoctoral Researcher in Deep Learning-Based Functional Annotation at BASF and Ghent University:

  • Eligible Countries: Grant is Available for Belgian students.
  • Entrance Requirements: Applicants must meet the following criteria:
  • Post-doctoral research and development (6-months + 2-year appointment)
  • Write and submit a funding application for applying emerging deep learning techniques to the problem of functional gene annotation
  • Implement a deep learning platform for biotech data analysis, improving the current computational pipeline used
  • Pro-actively and regularly report results and updates to the project lead during project meetings
  • Work closely with computer scientists, data scientists, and life scientists in both academia and industry
  • Who You Are:
  • PhD degree in computational biology, bioinformatics, computer science, (bio-)statistics, mathematics, or related fields
  • Proven ability to analyze (large) datasets with shallow/deep machine learning techniques
  • Good programming skills in languages such as Python or R
  • Experience with a high-performance UNIX-based cluster environment is a plus
  • Experience with a deep learning framework (e.g., TensorFlow, Keras, MyTouch) is a plus
  • A background in genomics and plant biology is a plus
  • Excellent in working in interdisciplinary teams with an international character
  • Proficient verbal, written, and presentation skills in English.

English Language Requirements:  Applicants whose first language is not English are usually required to provide evidence of proficiency in English at the higher level required by the University.

Job Description: For a joint project of BASF Agricultural Solutions Innovation Center Gent and Ghent University, we are looking for a deep learning expert who will develop and implement deep learning methodologies using large-scale and diverse genomics data to characterize and predict protein function. The candidate will be funded firstly by BASF for 6 months for defining a funding application, which will be used to fund her/him for another 2-year research period.

Postdoctoral Researcher in Deep Learning-Based Functional Annotation at BASF and Ghent University Application Procedure: 

How to Apply:  Applications should include:

(1) An academic/professional resume, including bibliography and project experience,
(2) A personal motivation letter, and
(3) At least two reference contacts. After a first screening, selected candidates will be invited for an interview (possibly via Skype). Starting date: December 2018 (negotiable).

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