The PhD will be carried out in 3 years at UniPd under the supervision of Prof. Fabrizio Bezzo and as employee of the Italian branch of DataHow (DataHow S.r.l.) under the supervision of Dr. Alessandro Butté. Within this time, it is expected that two research stays (3-4 months each) will be conducted at UniPd and Aarhus University, Denmark (AU).
As part of the ELEGANCE EU Doctoral Network, your research will focus on developing next-generation hybrid models (Bayesian Neural ODEs) to optimize bioprocesses. Your work will directly contribute to the development of the next generation biocatalytic processes, i.e., the use of enzymes for chemical transformations, as a sustainable alternative to classical drug manufacturing.
In this frame, your research will focus on:
- Development of Hybrid Models (Bayesian Neural ODEs)
- Optimal Design of Experiments using Bayesian optimization
- Knowledge Transfer across products and scales
- Model driven process characterization & validation
- Model driven process monitoring & control
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MSc (or equivalent) in computer science, biochemical engineering, biochemistry, or
related area, preferably with experience in machine learning and artificial intelligence. - You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.
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Coding experience, preferably in Python or Julia.
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Experience or training in data science and machine learning.
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Excellent English proficiency in written and oral form.
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Excellent communication skills for working within an interdisciplinary research team.
- Strong analytical skills, high motivation, and ability to work independently.
Preferred qualifications but not mandatory:
- Direct experience with developing machine learning models and in hybrid models
- Motivation in working in a highly interdisciplinary environment and in close contact with important pharmaceutical companies and original equipment manufacturer (OEMs).
- Interest in advanced computational methods to improve and understand biomanufacturing processes.
- Interest in entrepreneurship to make a positive impact on planetary and human health.
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Employment Security: A Italian work contract with DataHow S.r.l. The minimum period of employment is 3 years.
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Competitive Compensation: The salary will be based on the MarieS. Curie compensation scheme conditions and according to the grant agreement.
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Global Exposure: Possibility of working in an international and multidisciplinary environment
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Innovation: The opportunity to have a direct impact on how future drugs are manufactured using cutting-edge “Pharma 4.0” technologies.