INsTRuCT: Call for applications from Early Stage Researchers for 3 Doctoral (PhD) Training... (# of pos: 3)

Updated: 3 months ago
Job Type: FullTime
Deadline: 20 Mar 2020

INsTRuCT is an Innovative Training Network (ITN) funded by the European Union Horizon 2020 Programme. The INsTRuCT Consortium is a research network of leading European scientists from academia and industry focused on fundamental research and clinical translation of myeloid regulatory cell (MRC)-based immunotherapies. A total of 15 doctoral research projects (PhD projects) for Early Stage Researchers (ESR) are offered across 13 institutes in Europe. Research topics range from fundamental to translational science, all at the forefront in the field of MRC-based immunotherapies. Successful applicants will also receive expert training in basic immunological research, preclinical pharmacological development, manufacturing processes, clinical trial design, healthcare economics, ethics and marketing. The interaction of biologists, computational scientists, physicians and engineers is central to INsTRuCT and will challenge ESR to explore complex issues in bench-to-bedside research from different perspectives. Graduates of INsTRuCT will be well-prepared to enter the workplace with an innovative and beyond state-of-the-art view on fundamental and translational science of cell-based therapies that will accelerate the future of the field.

Participating in INsTRuCT offers early stage researchers many unique opportunities, including:

  • A project as Marie Skłodowska Curie trainee in one of the participating institutions with the intention of receiving a doctoral degree (PhD).
  • State-of-the art, exciting research in an international consortium with highly integrated research projects.
  • Expert training in preclinical and clinical development of cell-based medicinal products.
  • At least two months of research training in the lab of another consortium member, mostly in a different EU country than the country where most of the project will take place.
  • Training in both academic and commercial research environments.
  • Salary according to EU guidelines for Marie Skłodowska Curie trainees, including mobility payments and family allowances where applicable.

Eligible candidates must:

  • hold a Master’s degree or equivalent in a field of science relevant to their chosen project (see below)
  • demonstrate a history of academic excellence
  • demonstrate an affinity for Basic Immunology, Computational Biology or translational research
  • speak and write fluently in English
  • have less than 4 years’ previous research experience and not hold a doctoral (PhD) title
  • have not been resident in the country where the host institution is located for more than 12 months in the 3 years before recruitment.
  • be available to start their project no later than 1st September, 2020.

Individual Projects details (find full information on PDF )

Positions still open:

ESR5: A data science approach to characterising tolerogenic myeloid regulatory cell therapies in a standardised manner

Hosting Institution: Newcastle University, United Kingdom

Supervisors Dr. LORD, Phillip (primary),Dr. HILKENS, Catharien

Email address for the ,

Subject area: Computational Biology; Data Science

Project-specific selection criteria: As this is a cross-disciplinary project, a Masters degree or equivalent in bioinformatics, or computional biology is preferrable. Also acceptable, a BSc or equivalent in Computing Science, a BioMedical Science (inc. Immunology), with a strong and demonstrable interest in the other discipline. Experience with (some of) knowledge representation, biological data handling, databases or data integration.

ESR7 Computational characterisation, classification and deconvolution of myeloid regulatory cells

Hosting Institution: University of Regensburg, Germany

Supervisors Prof. REHLI, Michael, Prof. SPANG, Rainer

Email address for the ,

Subject area: Computational Biology; Transcriptomics

Project-specific selection criteria: Degree in Mathematics, Computer Science, Physics or other project-relevant subject.

ESR12 Classification of Human Myeloid Regulatory Cell Networks by Machine Learning from Multiparametric Immunofluorescence Images

Hosting Institution: Miltenyi Biotec BV & Co. KG , Bergisch Gladbach, Germany

Supervisor Dr. KOLLET, Jutta

Email address for the

Subject area: Computational Biology; Image Analysis

Project-specific selection criteria: Degree in Bioinformatics , Computer Science, or Biology with project-relevant subject.

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