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MSCA - Early Stage Researcher (ESR7) - PhD fellowship in network-based approaches for multi-omics data analysis

ABG-97996 Thesis topic
2021-05-04 EU funding
Alma Mater Studorium – Universita di Bologna (UNIBO)
Bologna - Italie
MSCA - Early Stage Researcher (ESR7) - PhD fellowship in network-based approaches for multi-omics data analysis
  • Data science (storage, security, measurement, analysis)
  • Biology
  • Physics

Topic description

“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.

Starting date


Funding category

EU funding

Funding further details

E-MUSE project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956126.

Presentation of host institution and host laboratory

Alma Mater Studorium – Universita di Bologna (UNIBO)

The Alma Mater Studiorum, (https://www.unibo.it/it) the oldest university in the Western world, paves the way for innovation through an increasingly rich programme catalogue, cutting-edge research and a constant and increasingly broad international perspective.
Since its origins in 1088, Alma Mater has been student-centred hosting prominent figures from science and the arts. Based in five campuses (Bologna, Cesena, Forlì, Ravenna, Rimini), with a branch in Buenos Aires, it offers a teaching catalogue diversified and tailored to the needs of present-day society: over 200 degree programmes among its 32 Departments and 11 Schools are offered to over 81,000 students. 5,000 graduates are enrolled in PhDs and 3rd cycle programmes.


The project will take place at the Laboratory of Applied Physics and Systems Biophysics, Department of Physics and Astronomy (DIFA) of the Alma Mater Studiorum - University of Bologna, Italy. DIFA is one Department of the Science School and one of the most scientifically productive Physics Departments in Italy. DIFA has a large computing facility, available to the Biophysics group (14-core HPC, GPU server, mirrored storage server with >100 Tb storage), and to the whole Department (OPH HPC facility, >200 cores). 

Candidate's profile

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 ≤ 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.

ESR7: 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)
  • English: B2, good oral and written communication skills in English are compulsory
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