Phd research project: A radical approach to Alzheimer’s Disease via next-generation computational and experimental methods
The candidate will be hosted within the interdisciplinary research team Mathematical, Computational and Experimental Neuroscience (MCEN) at the Basque Center for Applied Mathematics (BCAM), where he/she will have access to diverse expertise and resources. Moreover, the project will take place in the context of an international consortium (Spain, Poland, France, Canada) involving Mathematicians, Physicists and Chemists, Molecular Biologists and Clinicians.
5. Job position description (max. 2.000 characters)
The candidate will be supervised by Prof. Rodrigues (BCAM) and by Dr. Rodrigo A. Moreira da Silva (Institute of Fundamental Technological Research – Polish Academy of Science).
The candidate is expected to have an MSc in either Mathematics, Physics, Computational Chemistry. It is desirable (but not expected) that the candidate is knowledgeable
in Computational Physics. The envisaged project methodologies will involve, all-atom molecular dynamics simulations, multiscale modeling, topological and geometrical data analysis and possibly Machine-learning and big-data analysis.
The candidate will first review AD literature, the infectious hypothesis literature, which include the consortium papers [1,2,3,4,5], as well as, recent computational methodologies developed by Dr. Moreira da Silva [6,7,8]. The candidate will be trained on the aforementioned mathematical and computational methods and will further develop these methodologies for the specific problem at hand. The candidate will also interact with the consortium (e.g. INRS Institute Armand Frappier, Canada; Inria/France) and in particular experimentalists who will provide experimental data.
BCAM is a world-class and a Severo Ochoa Excellence Centre in Applied Mathematics and has state-of-the-art logistics and computational facilities and scientific expertise. Moreover, international collaborations will leverage the candidates learning curve and ensure career progression.
[1] Bourgrade K et al. (2016). J Alzheimers Dis, 54, 859-878. (2016)
[2] Fülöp T et. al (2021). Alzheimer’s Disease. Neuropsychiatr Dis Treat.; 4;17:1311-1339.
[3] Munawara U et. al (2021). Alzheimer’s disease. Immun Ageing. 21;18(1):29.
[4] Fülöp T et. al. (2020). Mech Ageing Dev.;192:111390
[5] Fülöp T et. al (2020). CNS Drugs;34(7):673-695
[6] Edgar C et. Al. bioRxiv 871632; doi: https://doi.org/10.1101/871632
[7] Moreira, R. A et al. (2020). Materials, 13(23), 5362.
[8] Moreira, R. A et al. (2020). Nanoscale, 12(31), 16409-16413.