15 PhD positions: Development of One Chemistry: Unified and interpretable deep neural networks model for drug discovery
Neuherberg near Munich, Germany
Expires on April 18, 2021
Advanced machine learning for Innovative Drug Discovery (AIDD) Project (http://ai-dd.eu)
Area of research:
Machine learning is changing our society, as exemplified by speech and image recognition applications. Also the life sciences change rapidly through the use of artificial intelligence, and it is expected that fields like drug development can take advantage of machine learning. The main goal of the AIDD project is to train and prepare the next generation of scientists who need to have skills in both machine learning and drug discovery and will, after graduating, be able to contribute to speed up the drug development process. The European Marie Skłodowska-Curie Innovative Training Network funds the AIDD project that brings together twelve academic partners (Helmholtz Zentrum München (coordinator), Germany; Aalto University, Finland; Freie Universität Berlin, Germany; Katholieke Universiteit Leuven, Belgium; Johannes Kepler Universität Linz, Austria; The Swiss AI Lab IDSIA, Switzerland; TU Dortmund, Germany; Universiteit Leiden, Netherlands; Université du Luxembourg, Luxembourg; University of Vienna, Austria; Universitat Pompeu Fabra, Spain and Vancouver Prostate Center, University of British Columbia, Canada) as well as four industrial partners (AstraZeneca, Sweden; Bayer Aktiengesellschaft, Germany; Janssen Pharmaceutica NV, Belgium and Enamine Limited Liability Company, Ukraine).
The AIDD network offers 15 PhD fellowships. The employed fellows will be supervised by academics who have solid technical expertise and have contributed to some of the fundamental AI algorithms which are used billions of times each day in the world, and by machine learning scientists working at pharmaceutical companies. The developed methods by the fellows will contribute to an integrated “One Chemistry” model that can predict outcomes ranging from different properties to molecule generation and synthesis. The network will offer comprehensive, structured training through a well-elaborated Curriculum, online courses, and six schools.
Each fellow will perform research 1.5 years at an academic partner and 1.5 years at an industrial partner.
For more information, visit http://ai-dd.eu
15 PhD positions: Development of One Chemistry:
Unified and interpretable deep neural networks model
for drug discovery
Deadline for applications: 18 April 2021
15 Early-stage Researcher Positions:
ESR1: One Chemistry: Unified and interpretable deep neural networks model for drug discovery
ESR2: One Chemistry: Robust learning of modular AI systems for the molecular generation, chemical reactions, and synthesis
ESR3: Prediction of chemical synthesis using NLP models
ESR4: Prediction of yield and rates of chemical reactions
ESR5: Reactivity for retrosynthesis steps by combining quantum mechanics and machine learning
ESR6: Integrating microscopy images from different sources to inform the compound design
ESR7: Fast and scalable multi-objective synthesis route optimization
ESR8: Learning Representation for Molecules from Chemical Structures and Microscopy Image
ESR9: Improve drug design with human-assisted AI
ESR10: Improved uncertainty quantification of drug-target predictions through the utilization of auxiliary data
ESR11: Machine learning models for the identification of compounds likely to interfere with biological assays
ESR12: Prediction of outcome of chemical reactions using new neural network architectures
ESR13: Quantum machine learning for reactivity
ESR14: Decomposable latent representations for in-vivo toxicity prediction
ESR15: Deep Learning for protein simulation
Essential Skills and Experience
- Master’s degree in Computer Science, Cheminformatics, Bioinformatics or equivalent subject
- Courses in machine learning
- Courses in programming
- Experience of software engineering
- Proven experience of Python programming
- Experience of deep learning libraries for instance TensorFlow or PyTorch)
- Experience with libraries such as RDKit or scikit-learn would be of advantage
- Good proficiency in modern software development tools, such as git
- Courses in drug development
The ideal candidate will also demonstrate enthusiasm for propelling scientific questions with a positive and problem-solving attitude and the willingness to undertake complex analysis tasks in a timely fashion. Excellent English is required, both spoken and written, and the ability to work effectively both separately and in cross-functional teams. We also believe that you enjoy teamwork, have a collaborative nature and will be an encouraging colleague to all.
Marie Skłodowska-Curie funding offers attractive salaries. Net salary is subject to country-specific deductions as well as depending on individual factors such as family allowance.
Early-Stage Researchers (ESRs) shall, at the time of recruitment by the host organization, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.
At the time of recruitment by the host organization, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organization for more than twelve months in the three years immediately prior to the reference date. Compulsory national service and/or short stays such as holidays are not taken into account. As far as international European interest organizations or international organizations are concerned, this rule does not apply to the hosting of eligible researchers. However, the appointed researcher must not have spent more than twelve months in the three years immediately prior to their recruitment at the host organization.
Eligibility and Mobility Rules are defined only at the first employment.
How to apply
- Prepare your profile and provide sufficient details about your educational background and work experience, proofs of your educational degree (or expected time until you obtain your degree), your CV, and a cover letter outlining your motivation for applying for the position.
- Submit your application to firstname.lastname@example.org before the deadline of April 18st, 2021 (the screening will start immediately; do not wait until the deadline to submit your application). Indicate ESR number in the title of the letter.
Further information is available on http://ai-dd.eu/esr-positions
click below to apply