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[Job Vacancy] Doctor-Assistant (Full-Time Postdoctoral Researcher, AAP) in Biotech Data Science
23/06/13 16:23 | 겐트대 | View 2288 | Comments 0
Doctor-Assistant (Full-Time Postdoctoral Researcher, AAP) in Biotech Data Science

Job Summary
Doctor-Assistant (AAP) – Ghent University Global Campus
Department: Department of Environmental Technology, Food Technology, and Molecular Biotechnology (KR01)
Degree: PhD degree in one of the following disciplines: computer science/engineering, informatics, electrical engineering, applied mathematics, biomedical engineering, or a related field
Contract: 2 years + 2 years + 2 years (contract renewal is conditional on a positive evaluation)
Occupancy rate: 100%
Vacancy type: Doctor-Assistant (Postdoctoral Researcher, AAP)
Last application date: Review of applications will begin on July 3, 2023, and continue until the position is filled
Starting date: September 1, 2023 (open to negotiation)
Scientific supervisors: Prof. Wesley De Neve, Prof. Joris Vankerschaver, Prof. Shodhan Rao
Job Position
Ghent University Global Campus (GUGC), South Korea, has a vacancy for a Doctor-Assistant (Postdoctoral Researcher, AAP) in the area of biotech data science, starting from September 1, 2023 (open to negotiation). This is a 2-year full-time position that is renewable twice (upon favorable evaluation), for a total period of 6 years. For non-Korean applicants, free accommodation and a yearly travel budget are foreseen. GUGC is an equal opportunities employer.
The selected candidate will work as a Doctor-Assistant at the Center for Biosystems and Biotech Data Science of the Ghent University Global Campus in Korea, under lightweight guidance of two to three scientific supervisors.
The selected candidate is expected to spend a maximum of 30% of their assignment on supporting the department in teaching an undergraduate course in bioinformatics (5 ECTS, about 75 students), covering frequently used algorithms and datastructures for pattern finding, sequence matching, sequence alignment, and genome annotation (a/o). These activities include for the most part the supervision of exercise sessions and computer labs, as well as assisting in the development of new course materials (e.g., assignments and exam questions), the grading of assignments and exam questions, and the supervision of yearly bachelor projects and internships.
Apart from helping out with teaching, the selected candidate is expected to contribute to ongoing research activities at the center, assisting the scientific supervisors with the counselling of master students and PhD candidates. These research activities primarily target applications in the domain of biological sequence analysis (e.g., structural genome annotation, functional genome annotation, protein interaction prediction) and biomedical image understanding (e.g., biomedical image and video analysis). Furthermore, the selected candidate is expected to initiate and attract external funding for new research lines that are related to the ongoing research activities of the center (through at least one yearly application for a grant at the national or international level, possibly involving internal and external project partners). Finally, the selected candidate is expected to contribute to the service activities of the center, for instance participating in info days and contributing to the popularization of biotech data science.
Candidate Profile
  1. You hold a PhD Degree in one of the following disciplines: computer science/engineering, informatics, electrical engineering, applied mathematics, or biomedical engineering. Related disciplines may be considered as well.
  2. You have an excellent academic record of accomplishment.
  3. You have demonstrable experience at the intersection of (deep) machine learning and the life/health sciences, as evidenced by a strong publication record or the authorship of (relevant) software.
  4. You have a good command of, and a strong interest in, computer programming. In particular, you have good programming skills in languages such as C++, Python, and/or R. You are familiar with GitHub.
  5. You have strong analytical skills to interpret experimental results.
  6. You have demonstrable experience in building out an independent research line, as evidenced through a high-quality research statement.
  7. You show a strong interest in tutoring students and supervising exercise classes, for small and large groups of students.
  8. You have an excellent command of English (a minimum score of 80 on the TOEFL iBT test), both written and orally.
  9. You are comfortable with working in an international and multi-cultural environment that is dynamic in nature (Ghent University Global Campus counts more than 20 nationalities among its academic staff).
  10. You have experience with scientific computing and machine learning.
  11. Having experience with a deep learning framework (e.g., PyTorch, TensorFlow, Keras) is a plus.
  12. You are intimately familiar with current trends in these areas and can talk knowledgeably about the potential impact upon your research and that of others.
  13. You possess good academic writing and presentation skills.
  14. If need be, you have the willingness to work flexible hours and to participate occasionally in events outside of the regular working hours.
Selection Criteria
  1. Scientific background and knowledge
  2. Educational experience
  3. Programming skills (computational and algorithmic thinking)
Application Documents
  1. Motivation letter
  2. Full resume (CV), including the contact information of at least two references
  3. Copy of the BSc and MSc degrees
  4. Transcripts (overview of study results)
  5. A link to your doctoral dissertation
  6. Code portfolio (describe your experience with scientific software development by highlighting 2-3 impactful software projects that you contributed to; provide links to GitHub wherever possible, and for collaborative work, clearly indicate which part is yours)
  7. A research statement that describes the proposed research in the areas mentioned above, focusing in particular on the objectives that will be pursued, together with a work plan and supplementary information (publication record, etc)
The application documents must be merged into a single PDF file and be sent via email to Prof. Wesley De Neve (wesley.deneve@ghent.ac.kr) (subject line: Doctor-Assistant in Biotech Data Science). The candidate will receive an email confirming receipt of the application.
Application Process and Interview
  1. Interviews will take place in stages from the first available time.
  2. Applicants are encouraged to apply in a timely fashion as the position will be filled upon finding the right candidate.
We reserve the right to hold applications on file for potential future job openings. For inquiries, please contact us via email.
Selection Process
  1. CV screening and shortlisting -> Interview and technical test (programming in Python and use of Linux) -> Internal committee -> Approval -> Acceptance notice to the candidate selected.
Compensation & Benefits for the Selected Candidate
  1. Basic terms of the contract: A 2-year contract (renewable twice, each time after a positive evaluation, for a total period of maximum 6 years).
  1. Salary: Starts from an Annual Base Salary of 46,624,160 KRW (Monthly Salary of 3,885,347 KRW, Gross).
  1. Bonuses
-Two additional bonuses in June (92% of monthly salary) and December (100% of monthly salary).
  1. Housing unit or housing allowance
-A single dormitory unit operated by Incheon Global Campus (IGC) will be provided for non-Korean candidates. If the selected candidate has the Korean nationality, or if the selected candidate is a permanent resident in Korea, then a housing unit will not be provided. Instead, a monthly housing allowance of 725,000 KRW will be made available then.
  1. Two hometown roundtrip tickets (for non-Korean candidates only)
-A non-Korean candidate will be provided, on a yearly basis, with two roundtrip tickets to their hometown (with a cost of up to 4,000,000 KRW).
  1. Severance
-Severance shall be paid when the contract ends and if the candidate worked for more than one year.
  1. Private health insurance
-Marsh private health insurance is provided, which includes basic medical reimbursements.
  1. Extensive annual paid leave and holidays
-The selected candidate shall have 35 days of paid annual leave per year.
-Additional holidays: from Christmas (Dec 25) to New Year (Jan 1).