Sano Postdoc - NCN Sonata

Location Krakow

Employment type Full-time

Region / State / Province małopolskie

About job:

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

Position Title: Post-doc

NCN Project: SONATA-19 NZ

Application Deadline: September 30, 4:00 PM

Application Submission Method: www

Employment Conditions:

Employment will be offered in the form of a full-time employment contract for a duration of 12 months.

The salary will be in accordance with the NCN rates for this position (i.e., PLN 140,000.00 gross gross/year).

Opportunities for developing research skills.

Freedom and independence in carrying out assigned tasks within a friendly and experienced team.

A work environment that supports sustainable development and is based on principles of equality.

A benefits package, which includes a co-financing of a sports card, co-financing of private medical care and two additional days of paid holidays.

The application should include:

A copy of the PhD diploma.

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

A cover letter addressing how the candidate meets the competition requirements.

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 Post-doc 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 using Sano recruitment system, available below by clicking ‘apply’.

Applications should be submitted exclusively in electronic form.

The deadline for submitting documents is 30.09.2024. The expected date for selecting the successful candidate is 15.10.2024. The project work is scheduled to begin on 04.11.2024.

Tasks:

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

Participate in interdisciplinary research and work closely with the Project Leader and the project team from Łukasiewicz-KIT.

Develop QSAR ML tools for predictive models targeting specific molecular objectives.

Integrate and perform qualitative analysis of data from various sources, using knowledge graphs to create models predicting the synergistic effects of antibacterial compounds.

Prepare input data necessary for building predictive models of adverse antibiotic combinations and validate the input data concerning their chemical properties in the context of models predicting the antimicrobial effects of specific combinations.

Conduct chemical validation of input data and optimize input parameters for the models.

Analyze drug-matrix interactions in silico.

Configure input data models with computational clusters.

Optimize data storage efficiency and security.

Analyze the results obtained from experiments, prepare scientific publications, project reports, and present findings at national and international conferences.

Requirements:

The ideal candidate for the Post-doc 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:

hold a PhD degree in the field of exact and natural sciences, in the discipline of chemical sciences or computer science, obtained no earlier than 7 years prior to the year of employment in the project. This period may be extended in accordance with the rules described in the cost catalog of research projects funded by the NCN.

have a scientific track record documented by publications in internationally recognized journals.

have experience in conducting research projects as a principal investigator and/or participant.

possess experience in the fields of medicinal chemistry, cheminformatics, and bioinformatics.

have experience in research related to drug design and development, as well as antibacterial materials.

knowledge and experience in microbiological research related to mechanisms of (antibiotic) resistance will be an additional asset.

be proficient in the Python programming language.

demonstrate proficiency in working with terminals and high-performance computing (HPC) systems and effectively utilizing these tools for designing computational process models.

be proficient in using data analysis packages (e.g., pandas), cheminformatics tools (e.g., RDKit), and predictive model design frameworks (e.g., PyTorch, NumPy, scikit-learn), as well as in clearly visualizing results in the form of graphs.

have knowledge of AI methods (e.g., neural networks, machine learning techniques) and their applications in bioinformatics, cheminformatics, and biopharmaceutics.

demonstrate advanced proficiency in English at the C1 level.

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