PostDoc Researcher in the area of machine learning for bioinformatics

11 Jan 2024
Job Information

Organisation/Company

Scuola Universitaria Professionale della Svizzera Italiana (SUPSI)

Department

Department of Innovative Technologies (DTI)

Research Field

Computer science » Other

Researcher Profile

Recognised Researcher (R2)

Country

Switzerland

Application Deadline

29 Feb 2024 - 00:00 (Africa/Abidjan)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

42

Offer Starting Date

1 Apr 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

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

No

Offer Description

he University of Applied Sciences and Arts of Southern Switzerland (SUPSI) has opened a full-time position for a PostDoc Researcher in the area of machine learning for bioinformatics,at the Department of Innovative Technologies (DTI) based at the USI-SUPSI university campus in Lugano-Viganello (East Campus), within the Dalle Molle Institute for Artificial Intelligence (IDSIA). The contract starts on April 1st, 2024 or date to be agreed.

Requirements

Research Field

Computer science » Other

Education Level

PhD or equivalent

Skills/Qualifications

You will carry out research activities within the framework of the European project NEXTGEN, in collaboration with an exceptional group composed of academic, medical, and industrial partners from all over Europe. We will develop a platform for the integration of multimodal data, with a focus on genomics, and their analysis using machine learning and data science methods for the development of personalized interventions in cardiac medicine. The approach will include the development of new federated machine learningtechniques to overcome limitations in transferring medical data outside the centers where they are collected and ensure patient privacy. The selected candidate will work on key AI methods for the curation of genomic data, prioritization of genomic variants, integration of multi-omic and multimodal data, as well as the extension of these methods to the context of federated learning.

Tasks

· Innovative research on federated machine learning applied to bioinformatics for the processing and integration of multimodal and multi-omic biomedical data.

· Experimental validation of methods and development of projects with medical professionals and biomedical researchers for their clinical or translational application.

· Contribution to the acquisition of grants for methodological and applied research projects.

· Opportunity to teach.

 

Specific Requirements

Requirements

Technical background and skills

· Research experience in omics data analysis and in the application of machine learning/data science.

· PhD in machine learning, data science, bioinformatics, computational genomics, or related areas (obtained or near completion).

· Excellent programming skills with data science languages and libraries (R, Python).

· Strong mathematical skills.

· Good track record of publications.

 

Soft skills

· Very good communication skills in spoken and written English.

· Ability to work in a team and in a collaborative environment.

· Autonomy.

Desirable but not strictly required

· Experience in the field of genomic annotation and in the use of bioinformatics databases.

· Not necessary, but potentially advantageous, knowledge of the Italian language.

Languages

ENGLISH

Level

Excellent

Languages

ITALIAN

Level

Basic

Research Field

Computer science » Database management

Years of Research Experience

4 - 10

Additional Information
Benefits

We offer

· A full-time employment contract, initially for two years, with intent of prolongation.

· Attractive salary, in line with Swiss standards and the candidate's experience.

· An international working environment.

· Travel support to participate to high quality conferences and workshops.

· Opportunity to develop professional and scientific skills.

Eligibility criteria

Applicants should submit the following documents, written in English:

· Curriculum vitae and publications list.

· Name and e-mail address of two reference contacts.

· Motivation letter, including a brief description of past research experience and future interests (1-2 pages).

 

Selection process

Applications will be considered only if submitted electronically within February 29th2024, through the  appropriate  form:https://www.supsi.ch/bando1899

Applications that are incomplete, submitted to other addresses, or submitted beyond the deadline, will be not accepted.

Website for additional job details

https://www.supsi.ch/home/supsi/documenti-ufficiali.html

Work Location(s)

Number of offers available

1

Company/Institute

Dalle Molle Institute for Artificial Intelligence (IDSIA)

Country

Switzerland

State/Province

Ticino

City

lugano - viganello

Postal Code

6962 Viganello

Street

Via la Santa 1

Geofield

Where to apply

Website

https://www.supsi.ch/bando1899

Contact

City

lugano - viganello

Website

http://www.supsi.ch

Street

Via la Santa 1

Postal Code

6962 Viganello

STATUS: EXPIRED