Position:
Post-doctoral fellows for the Molecular Modeling and Computer-Aided Drug
 Design (CADD) field 

Location:
Prof. Sun Choi, Ph.D. / Prof. Soosung Kang, Ph.D.
Global AI Drug Discovery Center
College of Pharmacy & Graduate School of Pharmaceutical Sciences, 
Ewha Womans University 
52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea
Tel: +82-2-3277-4503 / +82-2-3277-6619
Fax: +82-2-3277-2851 
E-mail: sunchoi.@.ewha.ac.kr / sskang.@.ewha.ac.kr
Homepage: http://caddsc.ewha.ac.kr; / https://kang.ewha.ac.kr

Description:
Ewha Womans University (http://www.ewha.ac.kr/mbs/ewhaen/index.jsp) is one
 of the most prestigious universities in South Korea. Ewha has continued to
 evolve throughout its more than 130-year history and now, it became the
 largest women's university in the world with 25,000 enrolled students.
 The College of Pharmacy in Ewha is the oldest and largest school of
 pharmacy in Korea with a history of more than seventy years of Pharmacy
 education. Moreover, only the top 1% of excellent students in Korea enter
 the College of Pharmacy, and our graduates now number over 10,000. 

In the laboratory of molecular modeling and drug design (Prof. Sun Choi;
 http://caddsc.ewha.ac.kr/), various technology and methodology of CADD,
 cheminformatics, computational medicinal chemistry and biomolecular
 simulations are studied. Using computational methods, we develop
 strategies for drug discovery involving cancer, virus, cardiovascular
 disease, osteoporosis, etc. Adapting to the target systems, various
 studies are in progress, including docking and binding mode analysis,
 active site and pharmacophore analysis, structure-activity relationships
 study and activity/property/toxicity prediction, chemical library and
 molecular design (target structure-/ligand-based), HTS data analysis,
 hit/lead optimization, study of molecular interactions and mechanisms,
 and big data and artificial intelligence (AI)-based drug discovery.
 Based on the high-quality and extensive research outcomes, we are
 continuously publishing articles in world-renowned journals, such as
 Journal of the American Chemical Society, Cell Metabolism, Angewandte
 Chemie, Journal of Medicinal Chemistry, and Theranostics. Our laboratory
 was selected as the National Leading Research Laboratory (NLRL) funded by
 the Korean government, and has engaged in active research activities,
 leading the Global AI Drug Discovery Center.

In the Medicinal Chemistry laboratory under the guidance of Professor
 Soosung Kang (https://kang.ewha.ac.kr/), researchers delve into the
 cutting-edge realms of modern medicinal and computational chemistry.
 Presently, the research encompasses diverse areas such as structure-based
 design of therapeutics targeting mitochondrial proteins, protein-protein
 interaction, targeted protein degradation, and investigation into
 mitochondrial membrane permeability. The primary focus lies on the
 pioneering advancement of treatments for neurodegenerative diseases,
 inflammation, and antibiotic development, with a particular emphasis on
 conditions involving mitochondrial dysfunction.


  * Research Areas
   - Computer-Aided Drug Design (CADD) Methods and Applications, including
     Docking,
     Pharmacophore Modeling, Homology Modeling, etc.
   - Protein-Ligand Interaction & their Mechanism of Action Studies 
   - Molecular Design, Combinatorial Library Design, Virtual Screening 
   - Drug Discovery Research for Various Diseases in Cell Signaling
   - Biomolecular Simulations: Protein Motion and Allostery
   - Theoretical Studies of Enzymatic & Chemical Reactions
	- Big Data Analysis and Artificial Intelligence (AI)-based Drug
          Discovery
	
Required Qualifications:
  - Ph.D. in medicinal chemistry, theoretical/computational chemistry,
    structural biology, bioinformatics, biochemistry or related disciplines
  - *Established record of high-quality scientific research and publications
    in high impact journals
  - Experiences in the fields of QM/MM calculations, MD simulations
    (including enhanced sampling techniques), molecular modeling,
    Computer-Aided Drug Design (CADD), and/or Artificial Intelligence (AI)
    are preferable
  - Ability to work both independently and as a member of a collaborative,
    scientific team
  - Excellent verbal and written communication skills in English

*Selected eligible candidates will also have the opportunity to apply for a
 Korean Government grant covering a program period of 3~5 years.
  - Brain Pool (BP, BP+) Program for inviting outstanding scientists from
    overseas

To apply:
- Send an email to both sunchoi.@.ewha.ac.kr and sskang.@.ewha.ac.kr with the
  following application list.
    1. Cover letter (describing your research interests and interest in our
       group)
    2. CV, including publication list
    3. Contact information for 3+ references