ORGANISATION/COMPANYIMforFUTURE partner institutions throughout Europe
RESEARCH FIELDMathematics › Statistics
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE09/03/2018 23:00 - Europe/London
LOCATIONMultiple locations, see work locations below.
TYPE OF CONTRACTTemporary
HOURS PER WEEK37.5
OFFER STARTING DATE31/03/2018
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER721815
Innovative training in methods for future data (IMforFUTURE) is a Marie Sklodowska-Curie Innovative Training Network (MSCA-ITN-ETN). We offer an innovative multidisciplinary and intersectoral research training programme for 11 PhD students in statistics (4 positions), integrated data analysis (3 positions), glycoproteomics and genetics (2 positions) and glycoproteomics analysis (2 positions). The aim is to integrate genetics, glycomics, and epigenomics datasets into systems biology for ageing by developing innovative methods for high throughput omics and for integrative analysis of omics data. Further information can be found at https://imforfuture.eu and http://cordis.europa.eu/project/rcn/209134_en.html
The following positions are available:
Research projects in Statistics:
- Mixed models for measurement error and overdispersion (position closed) - University of Leeds, United Kingdom
- Flexible survival models - University of Leeds, United Kingdom
- Network-based methods for analysis of multiple omics data (position closed) - University of Bologna, Italy
- Statistical methods for integrative analysis of omics data (position closed) - UMC Utrecht, The Netherlands
Research projects in integrated analysis:
- Analysis of omics to data on centenarians (position closed) - University of Bologna, Italy
- Analysis of omics to TwinsUK (position closed) - Kings College London, United Kingdom
- Genetic variants in protein glycosylation - to be advertised - University of Edinburgh, United Kingdom
Research projects in Glycoproteomics and Genomics:
- Epigenetic regulation of protein glycosylation and quality control mechanisms in protein synthesis - University of Zagreb, Croatia
- Complex genetics of protein glycosylation (position closed) — Genos, Zagreb, Croatia
Research projects in Glycomics and Glycoproteomics:
- High-throughput glycoproteomic analysis (position closed) — Leiden University Medical Center, The Netherlands
- In-depth glycoproteomic analysis (position closed) — GlyXera, Magdeburg, Germany
These are salaried positions with salaries (subject to country correction factors) of Euros 44,895.
- Located at excellent research environments
- Opportunities for international collaboration and travel to world class academic and industrial partners
- Training in a range of state-of-the-art scientific skills, intellectual property and generic skills
- Secondment placements within the network's partners
- Participation in the IMforFUTURE ITN European-wide research and training events
A good undergraduate degree (2:1 or above) / Masters or equivalent in Statistics, Biostatistics, or Econometrics. See the individual project descriptions for more information.
To meet the eligibility requirements for appointment as an early stage researcher funded by the Marie Sklodowska-Curie Innovative Training Network:
- You must be within the first four years (full-time equivalent) of your research career, and have not yet been awarded a doctoral degree (e.g. PhD), at the time of recruitment to this role
- You must not have resided or carried out your main activity (such as work or study) in the host country for more than 12 months during the 3 years prior to your recruitment to this role.
Shortlisting and interviews may vary from August to September 2017. Early applications are encouraged.
Further information on each position can be found under the project titles.
More information on Marie Sklodowska-Curie Innovative Training Networks is available at the following webpage: http://cordis.europa.eu/programme/rcn/700051_en.html
REQUIRED EDUCATION LEVELMathematics: Bachelor Degree or equivalent
REQUIRED LANGUAGESENGLISH: Good
- Experience of undertaking academic research;
- Good interpersonal and communication skills, both written and verbal, and the ability to communicate effectively with a wide range of stakeholders;
- Good time management and planning skills, with the ability to meet tight deadlines and manage competing demands effectively;
- A proven ability to work well both independently and as part of a team;
- A strong commitment to your own continuous professional development.
Please see the individual project descriptions for more information.
EURAXESS offer ID: 233762
The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.
Please contact firstname.lastname@example.org if you wish to download all jobs in XML.