PhD in Image analysis and Data modelling for advanced microscopy applied to biomolecular systems (Barcelona)

27 Mar 2024
Job Information

Organisation/Company

Universitat Pompeu Fabra

Department

Department of Experimental and Health Sciences

Research Field

Biological sciences
Physics

Researcher Profile

Leading Researcher (R4)

Country

Spain

Application Deadline

30 Apr 2024 - 23:59 (Europe/Madrid)

Type of Contract

Temporary

Job Status

Full-time

Offer Starting Date

3 Jun 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Have you ever wondered how organisms that do not control body temperature are able to preserve their molecular systems in the face of global warming? The group of Oriol Gallego (UPF) opens a 4-year PhD position to investigate the physical principles that underlie the adaptation of molecular systems in cells exposed to climate change. The student will contribute to develop an image analysis pipeline that extracts quantitative measurements from Single Molecule Localization Microscopy (SMLM), particle tracking and cryo-electron tomography (cryo-ET). The measurements will be integrated using machine learning and data modelling.

Our lab combines cell engineering and advanced live-cell imaging to resolve molecular architectures in vivo with up to 2 nm precision (Picco et al, 2017, Cell; Irastorza-Azcarate et al, 2019, Structure; Hernández et al, 2024, NAR GAB). In collaboration with the groups of Daniel Castaño-Díez (Biofisika Institute, Spain) and Alex de Marco (NYSBC, USA), we received a HFSP grant to continue pushing the limits of microscopy to investigate molecular systems in situ. The PhD student will develop computational tools that allow us to extract mechanistic insight from advanced microscopy data and to deliver quantitative models describing the physical principles that rule the adaptation of cellular functions to environmental fluctuations associated with climate change. In particular, the tasks of the PhD student will include the implementation of deep learning and Bayesian methods for the statistical analysis and quantification of images obtained through super resolution microscopy, live-cell imaging and cryo-ET. Importantly, during the first year of the PhD, the student tasks will include 3 months of teaching activities.

The student will join an international team (the group currently hosts 9 researchers from 4 different countries) developing imaging techniques at the frontier between cell biology and physics. Our lab is located at the PRBB, one of the strongest scientific campuses in south Europe with state-of-the-art research facilities.

If you are interested, please send a short cover letter, your CV and the contact details of 2 referees to [email protected] .

Starting date: June-July 2024

Requirements

Research Field

Physics

Education Level

Bachelor Degree or equivalent

Skills/Qualifications

• Expertise in at least one of the following: Optics applied to light microscopy, bioimage analysis or data modelling.
• Expertise in computer programming (Python, R, Matlab or FiJi).
• Excellent track-record of Graduate and Master degrees is highly valued (>=8/10 GPA for Spanish students).
• Expertise in SMLM, particle tracking or cryo-EM/cryo-ET will be valued, although it is not a requirement.

Specific Requirements

• BSc or MSc in computer sciences, physics, math, (Bioscience) engineering, biotechnology, or related disciplines.

Additional Information

Website for additional job details

https://www.upf.edu/documents/2869130/285038312/Oferta_Imaging_PhD.pdf/7e34704b…

Work Location(s)

Number of offers available

1

Company/Institute

Universitat Pompeu Fabra

Country

Spain

State/Province

Barcelona

City

Barcelona

Postal Code

08003

Geofield

Where to apply

E-mail

[email protected]

Contact

City

Barcelona

Website

http://www.upf.edu/biomed

Street

Dr. Aiguader, 88

Postal Code

08003

STATUS: EXPIRED