Assistant in the Department of Data Science and Engineering

13 May 2024
Job Information

Organisation/Company

Silesian University of Technology

Department

Department of Data Science and Engineering at the Faculty of Automatic Control, Electronics and Computer Science

Research Field

Technology » Telecommunications technology

Researcher Profile

First Stage Researcher (R1)

Country

Poland

Application Deadline

12 Jun 2024 - 23:59 (Europe/Warsaw)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

1 Oct 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

RECTOR OF THE SILESIAN UNIVERSITY OF TECHNOLOGY  announces the competition for the position of assistant in the group of teaching and research employees in the Department of Data Science and Engineering  at the  Faculty of Automatic Control, Electronics and Computer Science at the Silesian University of Technology in Gliwice, 2A Akademicka St.

Job description:
1) the competition for the position of assistant is open to persons who meet the requirements specified in the Act of 20 July 2018 – Law on Higher Education and Science (Journal of Laws of 2023, item 742, as amended) and the Statute of the Silesian University of Technology of 3 June, 2019 (Legal Monitor of SUT of 2020, item 339 as amended),
2) estimated work commencement date: 01.10.2024,
3) workplace and type of contract: Department of Data Science and Engineering at the  Faculty of Automatic Control, Electronics and Computer Science, full-time employment contract,
4) period of employment: from 01.10.2024 to 30.09.2028 (with the possibility of extension)

Requirements:
1) Master of Engineering degree in Technical Sciences  in Information and Communication Technology, preferred in Data Science (including Big Data)  specialization,
2) scientific experience in conducting research in the discipline of Information and Communication Technology, confirmed by co-authorship/authorship of at least 2 publications (related to those discipline of science) (preferred in scientific journals with a non-zero IF and a MEiN score of at least 100 points),
3) knowledge of the Polish language at a level that allows one to effortlessly conduct teaching classes,
4) knowledge of English at least at B2 level,  
5) participation in thematic conferences and symposia.

Additional requirements:
1) experience in teaching in the field of computer science and/or statistics in Polish and English,
2) experience in scientific cooperation with Polish scientific and research institutions as evidenced by joint publications or research projects carried out,
3) very good knowledge of MATLAB and/or Python programming environments,
4) experience in scientific work related to the analysis of DICOM, NIFTI and/or NRRD medical imaging data, participation in at least two grant projects on this topic will be an additional advantage,
5) knowledge of deep learning and machine learning techniques as applied to medical imaging,
6) knowledge of machine learning tools, in particular dimensionality reduction techniques for clustering or data visualisation.

Required documents:
1) employment application, 
2) scan of the master's diploma, 
3) curriculum vitae (CV), 
4) information on the scientific and didactic achievements together with the determined direction of her/his further activity,
5) declaration of active knowledge of the English language,
6) declaration of knowledge of the Polish language (applies to candidates for whom Polish is not their native language),
7) the candidate's statement that the Silesian University of Technology will be the basic place of work,
8) opinion of an independent researcher – scientific supervisor or master's thesis supervisor – regarding the candidate's predisposition to work as a research and teaching employee.

The University offers:
1) an employment contract at the Silesian University of Technology,
2) individual development in pro-quality programs,
3) work in a dynamic team that supports professional development.

Prospects for professional development:
1) the possibility of cooperation with Polish and foreign research and development units, 
2) participation in training, seminars, and conferences, 
3) substantive and organizational support of a highly qualified team.

The application must be submitted:

• until the day 12.06.2024,
• the expected date of the competition results:  12.07.2024

Candidates negatively evaluated by the selection committee have the right to appeal against the results of the competition within 7 days of their publication on the BIP website.
Incomplete or late offers will not be considered. Please be informed that we will contact only the candidates who meet formal requirements.

Information clause
Pursuant to Art. 13 of the Personal Data Protection Regulation of 27 April 2016, please be informed:
1) the controller of your personal data is the Silesian University of Technology with its registered office at Akademicka 2A St, 44-100 Gliwice,
2) the Silesian University of Technology has appointed the Data Protection Officer who can be contacted via the email address: [email protected] ,
3) your personal data will be processed in order to carry out the recruitment process for work at the Silesian University of Technology,
4) the basis for the processing of your personal data is Art. 22 1 of the Labour Code and, if you consent to the use of your CV for future recruitment at the Silesian University of Technology, art. 6 section 1 point a of the GDPR regulation shall apply,
5) only employees authorized to process personal data to the necessary extent will have access to your personal data within the organizational structure of the Silesian University of Technology,
6) your personal data shall not be disclosed to other entities, except in cases provided for by law,
7) your personal data shall be stored for the period necessary to carry out the recruitment process or for the next 9 months after the end of the recruitment process, if you consent to the processing of personal data in future recruitment processes,
8) you have the right to request access to your data and, to the extent provided for by applicable regulations, the right to: rectify, delete, limit processing, raise objections; if you consent to the processing of data, you have the right to withdraw your consent at any time,
9) you have the right to lodge a complaint with the President of the Personal Data Protection Office, if you feel that the processing of your personal data violates the provisions of the General Data Protection Regulation,
10) providing data is voluntary, but necessary to achieve the purposes for which they are collected.

Requirements
Skills/Qualifications

1) Master of Engineering degree in Technical Sciences  in Information and Communication Technology, preferred in Data Science (including Big Data)  specialization,
2) scientific experience in conducting research in the discipline of Information and Communication Technology, confirmed by co-authorship/authorship of at least 2 publications (related to those discipline of science) (preferred in scientific journals with a non-zero IF and a MEiN score of at least 100 points),
3) knowledge of the Polish language at a level that allows one to effortlessly conduct teaching classes,
4) knowledge of English at least at B2 level,  
5) participation in thematic conferences and symposia.
 

Specific Requirements

1) experience in teaching in the field of computer science and/or statistics in Polish and English,
2) experience in scientific cooperation with Polish scientific and research institutions as evidenced by joint publications or research projects carried out,
3) very good knowledge of MATLAB and/or Python programming environments,
4) experience in scientific work related to the analysis of DICOM, NIFTI and/or NRRD medical imaging data, participation in at least two grant projects on this topic will be an additional advantage,
5) knowledge of deep learning and machine learning techniques as applied to medical imaging,
6) knowledge of machine learning tools, in particular dimensionality reduction techniques for clustering or data visualisation.

Required documents:
1) employment application, 
2) scan of the master's diploma, 
3) curriculum vitae (CV), 
4) information on the scientific and didactic achievements together with the determined direction of her/his further activity,
5) declaration of active knowledge of the English language,
6) declaration of knowledge of the Polish language (applies to candidates for whom Polish is not their native language),
7) the candidate's statement that the Silesian University of Technology will be the basic place of work,
8) opinion of an independent researcher – scientific supervisor or master's thesis supervisor – regarding the candidate's predisposition to work as a research and teaching employee.

Additional Information
Benefits

1) an employment contract at the Silesian University of Technology,
2) individual development in pro-quality programs,
3) work in a dynamic team that supports professional development.

Prospects for professional development:
1) the possibility of cooperation with Polish and foreign research and development units, 
2) participation in training, seminars, and conferences, 
3) substantive and organizational support of a highly qualified team.

Work Location(s)

Number of offers available

1

Company/Institute

Silesian University of Technology

Country

Poland

State/Province

Gliwice

City

Gliwice

Postal Code

44-100

Street

Akademicka 2

Geofield

Where to apply

Website

https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=7d4fe6cce…

Contact

City

Gliwice

Website

http://www.polsl.pl

Street

Akademicka 2A

Postal Code

44-100

STATUS: EXPIRED