PhD fellowship in network-based approaches for multi-omics data analysis (ESR7)

“E-MUSE Complex microbial ecosystems multiscale modelling: mechanistic and data driven approaches integration” MSCA-ITN-2020 European Training Network

The E-MUSE training programme aims at developing young researchers’ skills at the interface between artificial intelligence and life sciences. The challenge is to acquire a shared language bridging life science questions and original modelling approaches. The research programme of the E-MUSE network is to develop innovative modelling methodologies to understand a complex microbial ecosystem and identify levers to control and/or predict its evolution. To deal with biological complexity, biologists, mathematicians, and computer scientists have to work together to develop innovative methodologies. An important complexity of this domain originates from scales and dynamics issues, ranging from local kinetics at the level of the cell to emerging macroscopic properties of the biological system. The development of high throughput techniques provides more and more large datasets, but knowledge is not easily inferred from this huge amount of data and multiscale dynamics are still incompletely characterised and predicted. E-MUSE’s transdisciplinary network gathers academic and industrial partners to equip Early Stage Researchers (ESRs) with scientific, research and transferable skills to become leaders in academic research or industry. They will be at the cutting edge of the modelling methodologies that we apply to model structural and dynamic features of microbial communities, to identify key processes and biomarkers for specific applications.

ESR 7

Objectives

To learn, implement and apply network-based algorithms to available data, embedding multi-omics data into a network framework. The ESR will deal with omics experimental data and combine them with relevant information about bacterial and metagenomics networks (e.g. protein interaction, biochemical pathways, metabolic networks). Starting from these reconstructed networks, several methods will be applied to identify key players (nodes, pathways, communities) related to the experimental conditions studied.

Skills/Qualifications

Master' degree: The candidate is required to have a master degree in Physics, Computer science, Mathematics, Statistics or related fields giving access to PhD school and NOT to have any kind of PhD degree. Previous research experience (which must be no longer than 4 years) although appreciated, is not mandatory. 

• networking and good communications skills (writing and presentation skills)
• willingness to travel abroad for the purpose of research, training and dissemination
• good skills in programming of high-level languages like Python, R, Matlab (not mandatory but highly recommended)

We offer

• A comprehensive, interactive and international training programme covering the broader aspects and interface between biology, bioinformatics, statistics, systems biology, predictive microbiology and artificial intelligence as well as transferable skills.
• An enthusiastic team of professionals to co-operate with.
• Personal Career development plan (PCDP) to prepare young researchers for their future careers.
• Each ESR will undergo individual training at individual institutes according to the PCDP description.
• An attractive compensation package in accordance with the MSCA-ITN programme regulations for early stage researchers. Exact salary will be confirmed upon and will be based on a Living Allowance of €3270/month (correction factor to be applied per country) + mobility allowance of €600/month. Additionally researchers may also qualify for a family allowance* of €250/month depending on family situation. Taxation and Social (including Pension) Contribution deductions based on National and company regulations will apply. *Family = be married / be in a relationship with equivalent status to a marriage recognised by the legislation of the country or region where it was formalised/have dependent children who are being maintained by the researcher.
• Duration of recruitment: 36 months.

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.

Recruitment Process

1. Candidates apply for a position using the online application form at E-MUSE website        
2. The E-MUSE Project Manager provides a first screen of the written applications to check eligibility of the candidate and forwards the eligible applications to the ESR supervisors.
3. The Supervisors per ESR will select the best candidates based on CV, academic records, recommendation and motivation letters and adequate skills set. To better assess the best candidate the shortlisted candidates might be asked to write an abstract of provided scientific documents relevant to the research subject.
4. The selected applicants will be interviewed through an online meeting by Selection Committee per ESR.
5. Optional: If possible, personal interviews will be held with the presentation of a master thesis by shortlisted candidates. Expenses made by the candidate for travelling and the hotel will be reimbursed by the local organisation. Due to Covid-19, this stage can be done via an online meeting.
6. The best candidates will be chosen by the ESR supervisors and the Selection Committee(s). European Project Manager will communicate the successful candidates to the Consortium and Partners.

Hosting Organization: Alma Mater Studorium – Universita di Bologna (UNIBO)

Enrolment in Doctoral degree: Alma Mater Studorium – Universita di Bologna (UNIBO) (https://www.unibo.it/en)

Applications Deadline 30/06/2021 23:59 - Europe/Brussels

Envisaged Job Starting Date 01/11/2021

Apply on: E-MUSE website https://www.itn-emuse.com/esr7