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Ikerbasque Eusko Jaurlaritza


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This job offer was closed at 2022-10-31

IKERDATA S.L.

IKERDATA-INVESTIGO PhD Student 1: AI/ML Chemoinformatics modelling of New Materials for Drug Release

Research Field: Chemistry 
Sub Research Field:  

Job Summary

An academic/industry Predoctoral researcher position is offered within the IKERDATA SL team at ZITEK, UPVEHU Rectorate Building, Leioa, Greater Bilbao, Basque Country. The predoctoral researcher will work on the development of Artificial Intelligence / Machine Learning (AI/ML) Chemoinformatics models for the prediction of new materials, nanoparticles, etc. Special emphasis will be on the development of new drug release systems for the treatment of cancer and/or inflammatory diseases. The students will collaborate be hired by IKERDATA SL and will participate in research projects in collaboration with our partners of FAES FARMA company and BCMATERIALS center.

Job Description

- Project: IKERDATA-INVESTIGO AI/ML New Materials and Drug Discovery Program.

Funders: NextGenerationEU, European Commission, Lanbide, Eusko Jaurlaritza.
Principal Investigator (PI): Prof. Humbert G. Díaz, Total Budget: 264K Eur already available.

- We offer full time contract of 2 years 33K Eur by year, to cover salary and taxes plus benefits like social security, medical insurance, employment insurance, etc.

- Researchers must be resident in Esukadi, registered in Lanbide Basque country employment service as job seekers, have work permit, and hold MSc degree in Organic Chemistry, Pharmacology, Computational sciences, Applied Physics, Materials Sciences, or related areas. Application to job must be by the website of Lanbide employment service however prospective candidates can contact us at info@ikerdata.com .

- Ikerdata Investigo Researchers must enroll in 2022 or be already enrolled in a PhD program under direct supervision of UPV/EHU Ikerbasque professors or researchers who are founder partners of our company.
- The predoctoral researcher will work in a PhD thesis projects in Computational sciences, Machine Learning, and Chemoinformatics, applied to Materials Sciences and Nanotechnology, etc.
- PhD thesis projects will contribute to collaborations of our company with researchers from FAES FARMA, BCMATERIALS, BIOFISIKA Fundación Biofísica Bizkaia / Biofisika Bizkaia Fundazioa, etc.
- Ikerdata Investigo Researchers will be requested to write / submit applications to other calls like projects, grants, scholarships, etc. attracting extra-mural funds in order to ensure the continuation of their positions.
-Additionally, each researcher will manage one MOL2NET Conference congress under supervision of a chairperson.
- IKERDATA S.L. will be the direct and only employer for 2 years, work modality will be hybrid in person/on line, our headquarters are in the UPV/EHU rectorate building, Leioa, Greater Bilbao.
- Predoctoral researchers are expected to pass during the contract at least one international research stay of at least 3 months abroad. Researcher stays will focus toward obtaining international PhD mentions. At least one stay in our collaborating groups of North Dakota State University, European Bioinformatics Institute | EMBL-EBI Cambridge UK, University of Portsmouth, The University of Texas Medical Branch, Universidade do Porto, etc., will be mandatory.

Benefits

social security, public medical insurance, employment insurance, vacation days, parental leave

Comment/web site for additional job details

FP7 / PEOPLE / Marie Curie Actions

Research Framework Programme/
Marie Curie Actions
No 
SESAM Agreement Number  

Job Details

Type of Contract Temporary 
Status Full-time 
Hours Per Week   
Company/Institute  
Country SPAIN 
State/Province BIZKAIA 
City Leioa 

Organization/Institute Contact Data

Organization IKERDATA S.L. 
Organization/Institution Type Academic 
Faculty/Department/Research Lab ZITEK 
Country SPAIN 
City Leioa 
State/Province Biskaia 
Postal Code 48940 
Street IKERDATA S.L., ZITEK, UPV/EHU Rectorate Building, no 6, Leioa, Greater Bilbabo, 48940, Basque Country, Spain 
E-Mail humberto.gonzalezdiaz@ehu.eus 
Website https://www.ikerdata.com/ 
Phone  
Mobile Phone  
Fax  

Application Details

Envisaged Job Starting Date 2022-10-31 
Application Deadline 2022-10-31 
How To Apply https://www.ikerdata.com/