ESR 2 position
MSCA ITN founded project “DohART-NET” focusing on effect of altered conditions during the periconceptional (PC) period of development in humans, including babies born from assisted reproduction (ART, “test-tube”) interventions, and from diabetic, obese mothers. The DohART-NET project integrates pre-clinical (animal and stem cell-models) and clinical studies and apply data linkage, bioinformatics and network science for the identification and validation of mechanisms of diseases common in early development. The project will promote efficient disease prevention and potential personalised therapeutic interventions in both the general and ART populations to overcome adverse disease pathways. DohART-NET will train 13 Early Stage Researchers (ESRs) PhD students on this important topic much needed to improve public health over several generations, and it will integrate pre-clinical, translational clinical and in silico modeling approaches. The ESRs will strongly benefit from a network of internationally recognized scientists and the participation of companies with relevant interests and expertise in the field.
DohART-NET Network: BioTalentum Ltd. (Hungary), University of Cambridge (UK), University of Manchester (UK), University of Southampton (UK), Erasmus University Medical Center (Netherlands), CeMM (Austria), Ludwig Maximilian University of Munich (Germany), MWM GmbH (Germany), Universitair Ziekenhuis Brussel (Belgium), IVI Valencia (Spain)
Job Title: PhD Position (ESR2)
Application Deadline: 20th February 2020
Recruiting Institution: BioTalentum Ltd. – Godollo and Szeged, Hungary
The applicant will develop a multidisciplinary project focused on determining the effect of environmental and nutritional stress on human PSC lines and their neuronal differentiation.
The ideal candidate would have solid knowledge in cell biology, developmental biology, molecular biology. Practical sterile work and cell culture experience, together with molecular biology and imaging competencies, is strongly preferred but not required.
The project implies a series of secondments at partner labs for additional training. The successful candidate will participate in the network’s training activities and work placements at the laboratories of the participating academic and industrial teams across Europe and China. Regular meetings and workshops within the EU-funded DohART-NET International Training Network will supplement the training and support provided at Szeged University, Szeged, Hungary.
The appointment will be a full time employment for a period of 36 months (Regular employment contract). The candidate will receive a very generous Monthly Living Allowance plus a Mobility Allowance compliant with the applicable EC Marie Skłodowska-Curie Actions-ITN general conditions. The place of work is at Szeged, one of the most important university cities in Hungary.
Applicants should meet the following eligibility criteria:
- have a background in biology, medical or veterinary field
- have not been awarded a PhD already
- have less than 4 years of full time – including any period of research experience at the signature of the contract
(This is measured from the date when the degree was obtained, which formally entitles the candidate to embark a doctorate, either in the country in which the degree was obtained, or in the country in which the research training is provided. Degree: MSc, MD, DVM and BSC in some countries.)
- at the time of selection, the candidate must have not resided or carried out their main activity (work, studies, etc.) in the country of their host organization/recruiting institution for more than 12 months in the 3 years immediately prior to selection. Short stays such as holidays are not considered.
- excellent knowledge of the spoken and written English language
- excellent communication and team working skills
How to Apply and further details:
Follow the below steps to submit your application. Please note all the uploaded documents should be written in English and should be in PDF format.
1. Please answer the questions below
2. Fill in the required fields
3. Upload your CV
4. Upload your motivation letter describing research career goals, skills and experience
5. Upload 2 letters of recommendation