EUROPE: 12 PhD positions in the MSCA Doctoral Network LongTREC (# of pos: 12)

The Long-reads TRanscriptome European Consortium (LongTREC): "The next generation transcriptome biology revealed by single molecule sequencing technologies" is a European Network funded by MSCA Doctoral Network that is recruiting 12 Doctoral candidates to undertake projects on long-reads transcriptome. Doctoral candidates will be located across the following institutions: Consejo Superior de Investigaciones Científicas (1 position), Stockholm Universitet (1 position), Istituto Italiano di Technologia (1 position), Centre Nationale de la Recherche Scientifique (1 position), Centre de Regulació Genòmica (2 positions), Max-Planck (1 position), Nacionalni Institut la Biologijo (1 position), Genoscope (1 position), Oxford Nanopore Technologies (1 position), Earlham Institute (1 position), Biobam Bioinformatics (1 position). Doctoral candidates hired to this network will be enrolled in local programs accessing seminars, training as well as local activities but also network activities and training.

The offered positions are available for a duration of 36 months. The fellowships are funded as part of the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network under the European Commission’s Horizon program. MARIE CURIE GRANT AGREEMENT NUMBER: 101072892.

See more info at:https://ec.europa.eu/research/mariecurieactions/actions/research-networks_en

We are now accepting applications from potential doctoral researchers. Applications are due by 16 January 2023. The PhD positions will begin between June and September 2023.

About the LONGTREC network

LongTREC is a Doctoral Network of the Marie Sklodowska-Curie action program (MSCA-DN) that will develop methods and tools for the analysis of transcriptomic data obtained with the most recent single-molecule, long-reads sequencing technologies. The LongTREC MSCA-DN will train 12 Doctoral Candidates (DC) who will perform research in top European computational biology laboratories guided by current European leaders of the lrRNA-seq technologies, both at experimentation and computation. Each candidate will develop a specific project under the supervision of a Principal Investigator within the LongTREC network.

All LongTREC DCs will enroll in local PhD programs from top-tier universities. Taking part in local programs will allow our DCs to be embedded in their respective graduate environments, gaining access to seminars, graduate retreats, training, and local scientific activities. Moreover, LongTREC DCs will be fully integrated in the research lab and R&D departments of their host institutions, participating in the day-to-day scientific life of their groups, which includes project discussions, journal clubs, interaction with visiting scientists, co-supervision of undergraduate or master’s thesis, institutional seminars, etc. DCs will be encouraged to enroll in local/national/European Young Scientist Organizations to promote peer engagement, leadership, and networking skills. Moreover, LongTREC will structure doctoral training as an intersectoral endeavor by systematically involving the academic and private sector of the training of our DCs. Every DC will carry out at least two research-based, intersectoral and international secondments.

The recruitment procedure will be through an international and open call in which future candidates who possess less than 4 years of research experience and are interested in the lrRNA-seq transcriptomics are welcome to apply.

Scientific project

lrRNA-seq is an effervescent field, where new experimental protocols, biological applications and analysis solutions are constantly emerging in pace with the rapid improvements in third-generation sequencing technologies. lrRNA-seq has already displayed great potential, but much work is still needed. e lrRNA-seq technology can unravel novel biological insights which have been hidden until now due to technological limitations. Because of their potential for full-length transcript sequencing, lrRNAseq can improve genome annotation by providing an accurate representation of transcript start and end sites, as well as alternatively spliced sites and discover novel genes and transcripts. lrRNAseq is triggering a paradigm shift in transcriptome biology research by progressively moving away from a gene focus to embrace a transcript-centric view. A new generation of computational biologists is essential to consolidate current methods, develop new tools, envision new applications, and lead the unstoppable transition of transcriptome analysis to effectively become LRS-based. The LongTREC network will provide all the key expertise, training, skills, values and infrastructure to support the scientific excellence of our PhD candidates.

List of PhD projects:

All project descriptions can be viewed here .