Postdoctoral Researcher – Computational models
Portugal
International Iberian Nanotechnology Laboratory
INL welcomes the new Deputy Director-GeneralProfessor Doctor Ado Jório de Vasconcelos appointed to be the new Deputy Director-General of INL MSCA Postdoctoral FellowshipsEU Marie Skłodowska-Curie Actions Cutting the energy consumption of...View all jobs at International Iberian Nanotechnology Laboratory
Postdoctoral Researcher – Computational models
Job Reference: Ref.12.25.445
Employer: International Iberian Nanotechnology Laboratory (INL)
Location: Braga, Portugal
Group/Unit: Alfaro-Moreno Research Group
Number of Vacancies: 1
Employment Type: Full time
Contract Duration: 20 months
Open Date for Applications: February 27th, 2025
Closing Date for Applications: March 19th, 2025, 23h00m (Lisbon Time)
Key words: #cheminformatics #qsar #qspr #qstr #bioinformatics #functionalanalysis
Overview
The Alfaro-Moreno Research Group is laboratory dedicated to excellence in scientific research on developing methods to assess the toxicity and safety of nanomaterials, with a broad approach evaluating from possible effects on humans to environmental effects. The goal of the group is to evaluate cytotoxic, genotoxic, inflammation, local and systemic effects and in silico analysis. We are committed to upholding the highest standards of Good Laboratory Practice (GLP) to ensure the quality and integrity of our work.
The selected candidate will be working on the LEARN and iCare project.
Job Duties
The job duties will be the following:
- Develop new in silico models to evaluate what properties of nanomaterials may be responsible for health and environmental effects;
- Develop in silico models to predict the potential effects of new nanomaterials;
- Lead the work related to the development of a comprehensive in silico pipeline for data integration (e.g., data pre-processing and transformation), data consolidation (e.g., data augmentation techniques), analysis and read-across methods, in the frame of the iCare Project;
- Publish the developed computational framework companion with documented and standardised public dataset.
Mandatory Qualifications
Education
- Ph.D. in Toxicological Sciences, and related areas.
Experience and Technical Skills
- Cheminformatics, including QSAR, QSPR, QSTR;
- Bioinformatics and functional analysis;
- Complex network analysis;
- Knowledge of Python;
- Strong statistical knowledge.
Other Valued Skills
- Machine learning;
- Working with Orange;
- Biomodelling and docking models;
- Biokinetic and PBK models.
Personal Skills
- Team spirit with ability to work independently and as team player;
- Ability to communicate complex concepts to peers with different backgrounds;
- Critical mind-set;
- “Hands-on” approach together with a high commitment in respecting working deadlines;
- Problem Solving ability;
- Customer orientation;
- Good communication skills.
Our Benefits
- Competitive salary;
- Tax benefits and other Diplomatic privileges;
- Private health insurance;
- Family allowances (according to family situation);
- Free nursery service at INL premises (subject to availability);
- Support for education fees of dependent children;
- Relocation support;
- 30 working days of annual leave.
How to Apply
The application must be in English and include the following mandatory documents:
a) Cover letter
b) Curriculum Vitae
c) Academic and/or Professional diplomas
d) At least one reference letter
Online application instructions:
- The application is made online by clicking the “Apply” button;
- The candidate must complete all required sections of the online application form;
- The candidate must submit the mandatory documents mentioned above in pdf format by including them in the “Additional files” section using the “Add portfolio” button.
Important note:
Incomplete applications including the failure to provide mandatory documents or providing inaccurate information will result in the application not being considered.
How the Selection Process works
A. Applications eligibility check
This stage will be carried out on the basis of the mandatory requirements, education, experience and technical skills defined for the job, as well as the validation of the mandatory documents. Only candidates who meet the eligibility criteria will move forward to the next stage.
B. CV Assessment
The Selection Committee will evaluate the eligible applications based on their CV and other submitted documents and the suitability for the position. The best ranked candidates will be shortlisted for the interview stage(s).
C. Interview(s)
The interview(s) may be done in different formats: video recording, online or onsite.
The question based interview will evaluate the match between the candidate’s profile and the requirements for the position, including the technical and personal skills. To better support this stage, the candidate may be requested to prepare a short presentation.
D. Nomination
The selected candidate will be nominated and formally offered the position, including the disclosure of the contractual conditions.
Additional Information
Application feedback
We highly value your interest in becoming part of the INL experience and it is important for us to maintain good communications with all candidates. No matter the outcome of your application, we will always provide you with feedback.
Equal Opportunity and Non-Discrimination Principle
INL follows a non-discrimination and equal access principle, wherefore no candidate can be privileged, benefited, impaired or deprived of any rights whatsoever, or be exempt of and duties based on any possible discriminatory issues.
The advertisement deadline may be extended at any time without previous notice in order to improve the suitability and effectiveness of the recruitment process.
About INL
The International Iberian Nanotechnology Laboratory – INL (http://www.inl.int), is the first and only Intergovernmental Organisation in the world entirely focused on Nanoscience and Nanotechnology.
It was founded under an international legal framework to perform interdisciplinary research, deploy and communicate nanotechnology for the benefit of society. INL aims to be a recognised leading global nanotechnology innovation hub.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Machine Learning Python Research Statistics
Perks/benefits: Career development Competitive pay Health care Relocation support
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.