Publisher
source

Universitat Pompeu Fabra

In silico modeling of IVD degeneration Universitat Pompeu Fabra - Department / School of Engineering in Spain

Degree Level

Postdoc

Field of study

Computer Science

Funding

Funded through an EU programme; contract is temporary and full-time. Specific stipend or salary details are not provided.

Deadline

Sep 30, 2026

Country flag

Country

Spain

University

Universitat Pompeu Fabra

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Keywords

Computer Science
Data Science
Machine Learning
Biomedical Engineering
Biology
Network Analysis
Innate Immunity
Health Science
Systems Biology
Inflammatory Biology
Agent-based Modeling
Multiscale Modeling
In Silico Modeling
Statistic
Finite Element Analysis

About this position


26 Sep 2025
Job Information
Organisation/Company

Universitat Pompeu Fabra - Department / School of Engineering
Department

Engineering
Research Field

Engineering » Biomedical engineering
Researcher Profile

Recognised Researcher (R2)
Positions

Postdoc Positions
Country

Spain
Application Deadline

30 Sep 2025 - 23:59 (Europe/Madrid)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

37,5
Offer Starting Date

26 Sep 2025
Is the job funded through the EU Research Framework Programme?

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

No

Offer Description

The postdoctoral candidate will develop in silico models to approximate the regulation of IVD degeneration with emphasis on the interplay between the innate immune system and the CEP. The work encompasses various in silico modeling techniques to cover the multiple spatial scales, i.e. from molecular detailed to multicellular high-level regulatory networks, up to tissue level finite element models, required to adequately incorporate molecular data, and model regulations of inflammatory and degenerative processes. Available datasets at the molecular level will be incorporated through machine learning techniques. Moreover, the work is tightly connected to experimental findings, hence a basic understanding of wet lab experiments is necessary. The IVD multiscale model developed by the postdoctoral researcher forms part of a large network of interconnected models that simulate other non-communicable diseases such as OA and AS and their connection via the blood stream. Hence, the postdoctoral researcher will tightly collaborate with a team of computer scientists, data scientists, biomechanicians and experts in cell and molecular biology.


Where to apply
Website
https://apply.interfolio.com/174763

Requirements
Research Field
Engineering » Biomedical engineering
Education Level
PhD or equivalent

Skills/Qualifications

The postdoctoral researcher should combine:

  • Background and previous experience in experimental biology
  • prior expertise on IVD is a plus
  • prior expertise on CEP is a plus
  • prior expertise on Modic Changes is a plus
  • prior expertise in pro-inflammatory processes (local or systemic) is a plus
  • prior wet lab experience is a plus
  • Strong engineering background, with previous experience in:
  • Finite Element modelling
  • Agent-based modelling
  • Network modelling (systems biology)
  • knowledge of statistics is a plus

Additional Requirements

  • excellent oral and written English
  • a strong motivation in the research field, with a strong will to handle and combine both biological and technical knowledge
  • High level of proactivity in the development of novel ideas
  • Ability to work well in a team and have a high commitment to honesty and fairness

Languages
ENGLISH
Level
Excellent

Research Field
Engineering » Biomedical engineering
Years of Research Experience
4 - 10

Additional Information
Selection process

The selection committee uses several indicators to evaluate the applicant’s preparedness, motivation and potential.

1st phase, remote pre-selection (100 points): The evaluation is based on the candidate background regarding the requirements listed under “required research experience” and “additional requirements” based on the provided documents (see below).

2nd phase, interviews (100 points) & final decision:

Should the candidate be preselected during the 1st phase, a 2nd phase will consist in at least one interview through which the motivation, the proactive behavior, the capacity to work collaboratively, the organizational skills, the communication skills and the capacity to engage in a scientific discussion and manage problems, will be assessed, among other aspects.

The final decision will be the result of a consensus of a recruitment committee that will take into account the results of both recruitment phases 1 and 2. To progress to the 2nd phase of selection, the candidate must have obtained at least 80 points at the 1st phase. Eventual selection after the 2nd phase is further subject to the capacity of the candidate to obtain at least 80 additional points, based on the interview.

The candidates are expected to provide the following documents:

  • A full CV
  • A letter of purpose (one A4 page)
  • A copy of the doctoral certificate
  • A document containing i) a list with scientific publications, ii) scientific recognitions and merits (if available)

Work Location(s)
Number of offers available
1
Company/Institute
Universitat Pompeu Fabra
Country
Spain
State/Province
Barcelona
City
Barcelona
Postal Code
08018
Street
Roc Boronat 138
Geofield


Contact
State/Province

Barcelona
City

Barcelona
Website

http://www.upf.edu/etic
Street

Roc Boronat 138
Postal Code

08018
E-Mail

[email protected]

STATUS: EXPIRED

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Funding details

Funded through an EU programme; contract is temporary and full-time. Specific stipend or salary details are not provided.

What's required

Applicants must hold a PhD or equivalent in a relevant field. Required skills include background and previous experience in experimental biology, strong engineering background with experience in finite element modeling, agent-based modeling, and network modeling (systems biology). Prior expertise in IVD, CEP, Modic Changes, and pro-inflammatory processes is a plus, as is wet lab experience and knowledge of statistics. Candidates must demonstrate excellent oral and written English, strong motivation, ability to combine biological and technical knowledge, high proactivity, teamwork, and commitment to honesty and fairness. Four to ten years of research experience is expected. Application documents include a full CV, letter of purpose, doctoral certificate, and a document listing scientific publications and recognitions.

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