Ph.D. student position. Type of NCN project: CHIST-ERA

Lodz University of Technology – Łódź
Ph.D. student position
Requirements

• BSc or MSc degree in Computer Science or a related field
• Experience with developing deep learning algorithms as well as with developing classical pattern recognition methods
• Excellent programming skills: Python and C++ languages are a must, as these are the implementation tools to be used. Since deep learning and pattern recognition tasks will be pursued, experience with using relevant libraries (Keras / Tensor Flow / PyTorch, scikit-learn, Dlib) is advantageous
• Experience of working in an international team
• Excellent communication and writing skills in English (at least at C1 level)
• Basic knowledge of French (at least A2 level) is necessary
• The candidate with MSc degree is required to enroll into a PhD program (unless this requirement is already fulfilled) at the International Doctoral School, Lodz University of Technology

Duties and responsibilities

• Design and implementation of machine learning and pattern recognition algorithms in both Python and  C++.
• Design and implementation of software for emulating on-chip analog computations.
• Active participation in a process of problem-solution method elaboration
• Design and execution of chip prototype testing experiments
• Analysis of experimental data, evaluation and fine-tuning of methods
• Participation in preparation of research papers

Type of NCN project: CHIST-ERA
The closing date for applications: January 15th  2020, 00:00
Submission form: email
 

Conditions of Employment:
Mothly compensation: 4000.00 Polish zlotys
The position is available from February 1st, 2020 to December 31st, 2020.

The application must include:

1. CV including information on: degrees earned, programming skills, history of participation in research grants, granted scholarships and other research accomplishments.
2. Motivation letter explaining feasibility of successful fulfillment of duties and responsibilities
3. If active participation in research grants has been indicated, grant’s supervisor opinion on the candidate would be advantageous

To enable processing of the application, the following statement has to be provided and signed: “Pursuant to Article 6 (1) of the General Regulation on the Protection of Personal Data of 27 April 2016 (Journal of Laws EU L 119/1 of 4 May 2016) I agree on the processing of personal data such as: name, (names) and surname, parents' names, date of birth, place of residence (correspondence address), education, course of previous employment, included in my job offer for the needs of current recruitment.”

Applications should be sent to: edyta.zientalak-orlowska[at]p.lodz.pl
Selected candidates will be contacted by an e-mail and invited for an interview.

The beneficiary of the National Science Centre scholarship will be selected by a committee. Application evaluation will be processed based on the Polish National Science Centre guidelines for the considered position.

Project’s scope

Project’s objective is to design, manufacture and test an application-specific VLSI analog integrated circuit that analyzes data provided by short- and middle-range radar for the purpose of vital sign detection and estimation of vital process parameters. A task for Lodz University of Technology team is to develop analog hardware-friendly AI algorithms and architectures for the task realization.