Research Associate

15 Apr 2026
Job Information

Organisation/Company

Institute of Fluid Flow Machinery Polish Academy of Science

Department

Institute of Fluid Flow Machinery

Research Field

Engineering » Mechanical engineering

Researcher Profile

Recognised Researcher (R2)

Positions

PhD Positions

Application Deadline

10 May 2026 - 23:59 (Europe/Brussels)

Country

Poland

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

1 Aug 2026

Is the job funded through the EU Research Framework Programme?

Other EU programme

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

No

Offer Description

The Institute of Fluid Flow Machinery Polish Academy of Sciences (Instytut Maszyn Przepływowych im Roberta Szewalskiego Polskiej Akademii Nauk)
is the leading organization in the field of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery. The thematic orientation of its research concerns aerodynamics, solid mechanics and energy conversion in flows including plasma and lasers.

The successful candidate will join a dynamic and interdisciplinary research environment focused on advanced structural integrity, intelligent diagnostics, and predictive maintenance of engineering systems. The Mechanics of Intelligent Structures Department operates at the interface of mechanical engineering, materials science, and artificial intelligence, focusing on the development of intelligent, adaptive, and resilient structural systems. The Department is an interdisciplinary research unit dedicated to advancing the understanding, monitoring, and predictive modelling of modern engineering structures. 
Research within the department on Structural Health Monitoring (SHM), non-destructive testing (NDT), and the mechanics of advanced materials, particularly composites and fatigue-critical structures. A key research direction involves the integration of machine learning and deep learning techniques with physics-based models to enable accurate damage detection, condition assessment, and lifetime prediction.
Strong emphasis is placed on data-driven engineering, including signal processing, feature extraction, and multi-source data fusion, as well as on the deployment of predictive algorithms in real-world industrial applications such as the energy sector (e.g., wind turbines) and aerospace engineering.
The department maintains extensive collaborations with international academic and industrial partners and participates in interdisciplinary research projects. It offers access to advanced laboratory facilities, modern sensing technologies, and high-performance computational resources, fostering an innovative and collaborative research environment.

Where to apply

E-mail

job@imp.gda.pl

Requirements

Research Field

Engineering » Mechanical engineering

Education Level

PhD or equivalent

Skills/Qualifications

Formal Requirements:
• PhD degree in Mechanical Engineering or a closely related discipline. 
• Proven research experience in areas such as mechanics, SHM, non-destructive testing (NDT), or related fields. 
• Experience in national or international research projects will be considered an advantage. 
Scientific and Technical Competencies:
• Strong background in machine learning, deep learning, and time-series modelling, with engineering applications. 
• Experience in prognostic modelling (e.g., RUL prediction, uncertainty quantification) and analysis of data from monitoring systems or industrial processes. 
• Knowledge of hybrid modelling approaches combining physics-based models (e.g., FEM, fracture mechanics) with data-driven techniques. 
• Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB.
• Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and sequence models. 
• Experience with experimental and/or simulation data and their integration (e.g., Digital Twin frameworks). 
• Knowledge of signal processing and feature extraction techniques is an asset. 
• Experience working with large datasets and databases. 
Additional Advantages:
• Strong publication record in reputable international journals. 
• Experience presenting research at international conferences. 
• Participation in international research collaborations or networks. 
• Demonstrated research excellence (e.g., awards, scholarships, patents).

Specific Requirements

•  Practical experience in Structural Health Monitoring (SHM) systems and sensor-based diagnostics 
•  Ability to design and implement data-driven pipelines for condition monitoring and predictive maintenance 
•  Experience in integrating experimental measurements with numerical simulations (e.g., FEM-based workflows) 
•  Hands-on experience with data preprocessing, feature engineering, and model validation in engineering contexts 
•  Familiarity with Digital Twin concepts and their application in industrial environments 
•  Ability to translate research methods into real-world engineering applications (e.g., energy or aerospace systems) 
•  Strong programming (MATLAB, Python) and problem-solving skills, with the ability to develop reproducible research workflows 
•  Ability to work independently as well as collaboratively in interdisciplinary and international teams 
•  Good scientific communication skills (writing, presenting, reporting)

Languages

ENGLISH

Level

Excellent

Research Field

Engineering » Mechanical engineering

Years of Research Experience

4 - 10

Additional Information
Benefits

-We offer a Post-Doctoral position (research associate) in the Department of Erosion Processes, IMP PAN Gdańsk, Poland (www.imp.gda.pl/en ) A full time (40 h/week) employment is funded, starting by a three-month trial period for new employees. The gross salary is 7044 PLN/month (indicatively: equivalent to ~1160 €/month net income, subject to some variation depending on tax regulations and on the EUR/PLN exchange rate)

Employment in a leading research institute of the Polish Academy of Sciences (IMP PAN)
-Opportunity to work in the Mechanics of Intelligent Structures Department on cutting-edge topics (SHM, AI, Digital Twins)
-Participation in international and interdisciplinary research projects
-Access to advanced research infrastructure, laboratories, and computational resources
-Support for scientific development, including conference participation and publication activities
-Collaboration with international research teams and partners
-Competitive salary in accordance with experience and qualifications
-Flexible working environment and opportunities for career development

Eligibility criteria

• PhD in Mechanical Engineering or a related discipline
• Proven research experience in structural mechanics, Structural Health Monitoring (SHM), Non-Destructive Testing (NDT), or related areas
• Experience in data-driven methods for engineering applications (e.g., machine learning, prognostics, Digital Twin concepts)
• Demonstrated scientific achievements (e.g., publications, research output)
• Good command of written and spoken English
• High motivation for scientific work and strong commitment to research activities

Selection process

Application Requirements
Interested candidates should submit the following documents in English by email:
• Cover Letter (indicating the research area and position applied for)
• Curriculum Vitae (CV), less than five pages, and including a representative list of publications
• Research Statement (max. 1 page) outlining previous research, current activities, and future research plans

How to Apply
Applications should be sent by email to: job@imp.gda.pl
Please include the following statement in your application:
“I hereby authorize the processing of my personal data included in my application for the purposes of the recruitment process, in accordance with applicable data protection regulations.”

Selection Process
• Applications will be evaluated by the recruitment committee at IMP PAN – Mechanics of Intelligent Structures Department
• Selected candidates may be invited for an interview (on-site or online)
• Recruitment results will be communicated to candidates via email

Additional Information
• The position will remain open until filled
• Due to the high number of applications, only shortlisted candidates will be contacted
 

Additional comments

To ensure efficient processing, please use the following format for your email subject line:

Position in Mechanics of Intelligent Structures_Ref: [IMP-O4Z1-2026]_[name and surname]

All application documents should be submitted in PDF format.

Website for additional job details

https://www.imp.gda.pl/fileadmin/doc/imp_announcements/job/o4/z1/2026/O4_Z1.pdf

Work Location(s)

Number of offers available

1

Company/Institute

Institute of Fluid Flow Machinery Polish Academy of Science

Country

Poland

City

GDAŃSK

Street

FISERA 14

Geofield

Contact

City

Gdansk

Website

http://www.imp.gda.pl

Street

Fiszera 14

Postal Code

80-231

E-Mail

wieslaw.ostachowicz@imp.gda.pl

Phone

+48 58 5225 285

STATUS: EXPIRED

• X (formerly Twitter)
• Facebook
• LinkedIn
• Whatsapp
• 
  More share options
  • E-mail
  • Pocket
  • Viadeo
  • Gmail
  • Weibo
  • Blogger
  • Qzone
  • YahooMail