Mots-Clés

Machine learning on multi-omics data, feature selection, support mechanistic models with machine learning

Description

Project Title : Marie Sklodowska-Curie Actions (MSCA-ITN) "E-MUSE" Complex microbial Ecosystems MUltiScale modElling: mechanistic and data driven approaches integration

ESR9

Apply on: https://www.itn-emuse.com/esr9-1

Application Deadline: Rolling Basis Applications

The Host Group: Software Engineering Department, MTA-SZTE Research Group on Artificial Intelligence Location: Szeged, Hungary

Envisaged Jobng Date : ASAP

Objectives: A. Predict the properties (texture, flavour) of cheese based on lower level features. B. Use SOTA deep learning approaches for model development (https://www.itn-emuse.com/wp).

Expected Results We expect to deliver tools (open source program) and methods (deep learning models, data manipulation and learning techniques) by which we can estimate the high level properties (e.g. taste, texture) of cheese product, based on lower level predictors. 

Required Skills/Qualifications: Master’s degree in computer science or equivalent degrees ideally with a strong background in data science, machine learning, deep learning.

• Computer science, data science, machine learning, deep learning background

• Provable software development skills in one of common programming languages (e.g. Java, C++)

• Python, Tensorflow, PyTorch experience is favoured

• Willingness to learn the necessary biology background in order to work with biological data properly

Specific Requirements for all ESRs • You should NOT have any kind of PhD degree. Previous research experience (which must be no longer than 4 years) although appreciated, is not mandatory. • Educational background and previous research experience relevant for the chosen position. • Applicants must demonstrate fluent reading, writing and speaking abilities in English. English: B2, good oral and written communication skills in English are compulsory. • Networking and communication skills in a multicultural and multidisciplinary environment • Willingness to travel abroad for the purpose of research, training and dissemination

Planned Secondments In total, 2 months will be spent at Alma Mater Studorium – Universita di Bologna (UNIBO) in Italy (network theory of multi-omics data).

Eligibility criteria • Any nationality • Early Stage Researchers (ESR) The applicant needs to be in the first four years of their research careers at the date of recruitment by the host organisation, and have not been awarded a doctoral degree. The first four years are measured from the date of applicant’s degree either in the country in which the degree was obtained or in the country in which the researcher is recruited, irrespective of whether doctorate was ever envisaged. • Mobility Rule The ESR must have not resided or carried out main activity (work, studies, etc.) in the country of their host organisation for more than 12 months* in the 3 years immediately prior to their recruitment. Exceptions: The ESR must not have spent more than 12 months in the 3 years immediately prior to the date of selection in the same appointing international organisation. *EXCLUDED: short stays such as holidays, compulsory national services such as mandatory military service and procedures for obtaining refugee status under the Geneva Convention • Language Applicants must demonstrate fluent reading, writing and speaking abilities in English.