One-year postdoctoral position in Barcelona on Bio-Nano Complex Matter

Universitat de Barcelona; Barcelona; On-site; EUR 35,000 - 45,000; Full time

Job summary

Universitat de Barcelona invites applications for a one-year postdoctoral position in a research group focusing on statistical physics, biology, nanomedicine, and environmental science. The work blends theory, computation, and emerging machine-learning tools to explore Bio-Nano Complex Matter across time and length scales.

The candidate should have a PhD in physics or related fields, strong data analysis skills, and experience with Monte Carlo methods, MD packages, MATLAB, Python, and GPU

Qualifications

• PhD in physics related field is required or near completion.
• Strong knowledge of Monte Carlo methods and molecular dynamics.
• Experience with machine learning concepts and GPU programming desirable.
• Data analysis and quantitative skills with relevant software.
• Excellent communication in English; Spanish/Catalan a plus.

Responsibilities

• Independent planning and execution of research projects.
• Dissemination of results through publications and presentations.
• Collaborate in an international, interdisciplinary environment and mentor students when needed.

Skills

Monte Carlo methods

Molecular dynamics

Machine learning fundamentals

GPU programming

Education

PhD in Physics/Materials Science/Nanoscience/Biophysics

Tools

MATLAB

Python

Job description

Company Description

The University of Barcelona (UB) is Spain’s leading research university, offering a rich environment for interdisciplinary and international collaboration.

Role Description

I’m offering a one-year postdoctoral position in my group in Barcelona, working at the exciting intersection of statistical physics, biology, nanomedicine, and environmental science. Our research focuses on Bio-Nano Complex Matter, combining theoretical and computational approaches with emerging tools such as machine learning to address experimental limitations and predict how complex systems behave across time and length scales. You can learn more about our research at https://spcmub.wordpress.com/.

Qualifications

• Candidates should possess knowledge of Monte Carlo methods, molecular dynamics packages, the fundamentals of machine learning and GPU programming.
• Candidates should possess solid Research skills, including independent project planning, scientific literature review, hypothesis formulation, and dissemination of results through publications and presentations.
• Candidates should possess a robust background in Physics or closely related fields, with a strong understanding of soft matter, nanoscience, or biophysics.
• Candidates should possess Data Analysis skills, including quantitative analysis, statistical methods, and the use of relevant software tools (e.g., MATLAB, Python, or similar).
• Candidates should possess Teaching and mentoring abilities, with the capacity to support undergraduate and graduate students and contribute to academic activities when required.
• A PhD in Physics, Materials Science, Nanoscience, Biophysics, or a closely related discipline, obtained or close to completion, is required.
• Strong written and oral communication skills in English are essential; knowledge of Spanish or Catalan is an asset but not mandatory.
• Evidence of scientific productivity (e.g., peer-reviewed publications, conference contributions) and the ability to work collaboratively in an international, interdisciplinary environment will be highly valued.
• Positive attitude and enthusiasm are required.