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Computational Chemistry List Home lists this 26.02.11 Marie Curie PhD Position (Doctoral Candidate) in AI-driven Drug Discovery opportunity in indiana, Pennsylvania. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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To: jobs at ccl.net
Date: Wed Feb 11 16:49:
Subject: Marie Curie PhD Position (Doctoral Candidate) in AI-driven Drug Discovery in Athens, Greece
Marie Curie PhD Position (Doctoral Candidate) in AI-driven Drug Discovery Biomedical Research Foundation, Academy of Athens (BRFAA) OFFER DESCRIPTION
1 doctoral candidate position is available within the EU-funded Marie Skodowska Curie Doctoral Network in the LowDataML Doctoral Network (Low Data Machine Learning for Sustainable Chemical Sciences) under Grant Agreement No. , at the BIOMEDICAL RESEARCH FOUNDATION ACADEMY OF ATHENS (BRFAA), Greece
PROJECT DESCRIPTION
The LowDataML project aims to train 10 doctoral researchers to pioneer low-data machine learning (ML) approaches for the chemical and life sciences, promoting sustainable and resource-efficient innovation in drug discovery, reaction optimization, and molecular design. The network brings together academic and industrial partners from across Europe and Canada to advance AI-driven, eco-friendly chemical research with real-world impact. Project website:
JOB OFFER DETAILS
We provide a structured 36-month PhD training programme within the Marie Skodowska-Curie Doctoral Network LowDataML (Low Data Machine Learning for Sustainable Chemical Sciences). The programme offers cutting-edge research and training at the intersection of machine learning, computational chemistry, biophysics, bioinformatics, and drug discovery. The earliest starting date is 1 December 2025, and the latest is 1 March 2026.
We are looking for a highly motivated and talented early-stage researcher eager to pursue doctoral studies in the fields of AI-driven molecular design, computational drug discovery, and physical chemistry of biological systems.
Applicants should hold a Masters degree (or equivalent) in Computational Biology, Chemistry, Physics, Computer Science, or related disciplines. Previous experience in machine learning, molecular dynamics, or computational chemistry is desirable. Excellent command of spoken and written English, communication skills, and the ability to work in a collaborative international environment are essential.
We offer a stimulating and interdisciplinary research environment with access to state-of-the-art computational and experimental facilities and a strong track record of collaboration between academia and industry. In addition to individual training-through-research, fellows will participate in network-wide workshops, summer schools, transferable skills courses, and international secondments at partner institutions.
The following eligibility rules apply for participation in a Marie Skodowska Curie Innovative Doctoral Network: Applicants must be in the first 4 years after obtaining their Masters degree and/or Bachelors degree and must not have resided or carried out their main activity (work, studies, etc.) in the host country for more than 12 months in the 3 years immediately before the recruitment date. In addition, local regulations of the host countries may apply. The salary is based on standard living, mobility and family allowances which are adapted to the respective country of recruitment.
AVAILABLE POSITIONS
ESR 1: Design of novel c-Myc inhibitors Host Organisation: BRFAA Scientist-in-Charge: Dr. Zoe Cournia Contact email: Applicants should apply by email to zcournia ~~ bioacademy.gr indicating Reference: LowDataML_DC7.
Objectives:
The PhD project aims to design novel c-Myc inhibitors using advanced machine learning (ML) methods. c-Myc deregulation is associated with poor prognosis in cancer and has long been considered an "undruggable" target. The successful candidate will:
Train N-shot neural networks (e.g., Siamese networks) on fingerprints of known c-MycMax inhibitors to identify new putative inhibitors.
Explore large chemical databases (ZINC, ChEMBL) and apply virtual screening to reduce the search space for drug discovery.
Evaluate candidate molecules using molecular dynamics simulations and empirical scoring functions.
Run biophysical (CD, microscale thermophoresis) and cell-based assays for validation.
Expected Results:
Development of a robust N-shot neural network for novel inhibitor discovery.
Identification of new small molecules disrupting c-MycMax dimerization.
Planned Secondement:
The PhD candidate will have research stays (secondments) at:
UCAM (University of Cambridge) 3 months
chemical biology FUB (Free University of Berlin) 3 months
physics-based modelling ARQ (Arquimea Research Centre) 3 months
deep learning for structure-based drug design
Enrolment in Doctoral degree(s):
The candidate will be enrolled in the doctoral program of BRFAA (Biomedical Research Foundation of the Academy of Athens).
Specific Requirements:
Must hold a Masters degree (or equivalent) in Computational Biology, Bioinformatics, Computer Science, Chemistry, Physics, or related fields. Experience in machine learning, molecular dynamics, or computational drug design. Programming skills (Python, PyTorch, TensorFlow). Familiarity with cheminformatics and molecular simulation software. Excellent command of English (written and spoken).
CONTACT ORGANISATION/COMPANY:
Biomedical Research Foundation, Academy of Athens
DEPARTMENT:
Clinical, Experimental Surgery & Translational Research
ORGANISATION TYPE:
Research Center (Institute)
WEBSITE:
E-MAIL:
zcournia ~~ bioacademy.gr
COUNTRY:
Greece
CITY:
Athens
STATE/PROVINCE:
Attiki
POSTAL CODE:
115 27
STREET:
4 Soranou Ephessiou Street
ADDITIONAL INFORMATION
BENEFITS
Full-time employment for 36 months under the Marie Skodowska-Curie Doctoral Network framework. Attractive salary in line with MSCA rules, including: Living allowance Mobility allowance Family allowance (if applicable) Access to state-of-the-art computational and experimental facilities. Participation in international workshops, transferable-skills training, and research secondments across Europe. Expected start date: December 2025February 2026.
ELIGIBILITY CRITERIA
The following eligibility rules apply for participation in a Marie Skodowska Curie Innovative Training Network: Less than 4 years of full-time research experience and no PhD at the time of recruitment. Must not have resided or carried out main activity (work, study, etc.) in Greece for more than 12 months in the 36 months before recruitment.
SELECTION PROCESS
Applications will be evaluated by a selection committee based on merit, motivation, and research potential. Shortlisted candidates will be invited for an online interview. BRFAA is an equal opportunity employer and values diversity in science.
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Worksite address
indiana, PA, 15705, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.