Sano Stipend - NCN Sonata

Location Krakow

Region / State / Province małopolskie

About job:

Institution Name: Sano – Centre for Computational Personalized Medicine International Research Foundation

Position Title: Scholarship grantee/Student/PhD student

NCN Project: SONATA-19 NZ

Application Deadline: September 15, 4:00 PM

Application Submission Method: www

Employment Conditions:

The involvement in the project will be based on a scholarship agreement for a period of 18 months.

Planned start date: 01.10.2024

Place of work: Sano – Centre for Computational Personalized Medicine and Łukasiewicz Research Network – Krakow Institute of Technology.

A scientific scholarship of PLN 3000 per month will be paid in accordance with the rules outlined in the NCN Regulations on Awarding Scientific Scholarships in Research Projects Funded by the National Science Centre (Annex to NCN Council Resolution No. 25/2019 of March 14, 2019).

The application should include:

A copy of the second-cycle (Master’s) degree diploma and/or a certificate confirming the second-cycle (Master’s) student status.

A curriculum vitae (CV) highlighting previous scientific activities (participation in workshops, research projects, authorship/co-authorship of scientific articles, participation in conferences, competitions, awards, contributions to the academic community, membership in scientific circles, etc.).

A motivation letter.

A statement of consent for the processing of personal data with the following content: "I consent to the processing of my personal data contained in the job application for the purposes necessary for the recruitment process (in accordance with the Personal Data Protection Act, Journal of Laws 2002, No. 101, item 926, as amended)."

Additional Information:

Sano – Centre for Computational Personalized Medicine International Research Foundation announces a competition for a Scholarship grantee/Student/PhD student position in the NCN SONATA-19 project (2023/51/D/NZ7/02596) titled "One Step to Game Changer": Combined Antimicrobial Therapy Based on AI and Nanotechnology to Combat Challenging Diabetes Foot Infections. The project is being carried out by the Łukasiewicz Research Network – Krakow Institute of Technology (Project Leader: Dr. Barbara Pucelik) in consortium with Sano - Centre for Computational Personalized Medicine (Project Coordinator: Dr. hab. inż. Maciej Malawski).

The Selection Committee reserves the right to conduct interviews with selected candidates (the time and place of the interview will be communicated to candidates via email).

Please send your applications via our recruitment system, by clicking apply below.

Applications should be submitted exclusively in electronic form.

The deadline for submitting documents is 15.09.2024. The expected date for selecting the successful candidate is 20.09.2024. The project work is scheduled to begin on 01.10.2024.

Tasks:

Conduct research within the project focused on discovering new combinations of drugs and antibacterial molecules for the development of innovative nanoantibiotics aimed at treating chronic wounds.

Participate in interdisciplinary research conducted by the project team.

Contribute to the implementation of knowledge graphs based on the STRING database and compare the team's developed drug toxicity models with available predictive models on the Hugging Face platform.

Analyze drug combination interactions and propose laboratory experiments based on the conducted analyses.

Participate in improving the model by incorporating new experimental data to enhance its accuracy.

Analyze results obtained from experiments, prepare scientific publications, project reports, and present findings at conferences and other scientific events.

Requirements:

The ideal candidate for the Scholarship grantee/Student/PhD student position in the Structural and Functional Genomics Research Group, in collaboration with the Nanomaterials, Biophysics, and Medical Biotechnology Research Group (Lukasiewicz Research Network - Krakow Institute of Technology), should:

be a student of a second-cycle (Master’s) program or a participant in doctoral studies, or a PhD candidate in a doctoral school, in the field of computer science or a related discipline such as chemistry, biophysics, pharmacy, or biomedical engineering.

have advanced proficiency in the Python programming language.

be familiar with AI methods (e.g., neural networks, machine learning techniques) and their applications in bioinformatics, cheminformatics, and biopharmaceutics.

have a level of English proficiency sufficient for using English-language specialized literature and writing scientific reports.

have the ability to operate specialized software, such as Origin/MATLAB/MS Office.

possess competencies such as scientific independence, availability, excellent work organization, the ability to work in an interdisciplinary scientific team, and creative thinking.

Knowledge in areas such as medicinal chemistry (e.g., drug-drug interactions, drug-protein, protein-protein interactions), drug carrier design, nanotechnology, and microbiology will be an additional asset.