15 Jan 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
Established Researcher (R3)- Positions
PhD Positions- Application Deadline
10 Feb 2026 - 23:59 (Europe/Brussels)- Country
Poland- Type of Contract
To be defined- Job Status
Full-time- Hours Per Week
40- Offer Starting Date
1 Apr 2026- Is the job funded through the EU Research Framework Programme?
Not funded by a 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.
Participation in the design and optimization of integrated energy systems, including renewable energy sources and energy storage systems.Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy infrastructure (e.g., turbine components).Research on advanced deep learning techniques, including architectures based on GRU, LSTM, attention mechanisms, and hybrid models.Implementation of real-time predictive models (soft sensors) in power systems for thermodynamic process monitoring and control (e.g., thermal stress control in steam turbines). Involvement in interdisciplinary research projects combining mechanical engineering, computer science, energy systems, and economics
Where to apply
job@imp.gda.pl
Requirements
- Research Field
- Engineering » Mechanical engineering
- Education Level
- PhD or equivalent
Skills/Qualifications
A PhD degree in technical sciences, specializing in mechanical engineering (PhD Eng.).
Documented experience in scientific research related to thermomechanics, power engineering, or related engineering fields.
Experience in modeling and optimizing integrated energy systems, including the use of RES and energy storage technologies.
Knowledge of economic aspects related to energy transition, energy efficiency, and resource utilization.
Strong expertise in machine learning, deep learning, and advanced time series modeling
Additional education in economics (e.g., a completed Master’s or postgraduate degree in economics, finance, or energy management) will be considered an asset.
Specific Requirements
* Proficiency in Python ecosystem (NumPy, Pandas, TensorFlow, scikit-learn)
* Experience with optimization methods: exact methods (MIP/MILP using PuLP) and heuristics (e.g., genetic algorithms)
* Solid understanding of statistics, probability theory, data exploration, dimensionality reduction, classical ML algorithms (regression, classification, clustering), and ensemble methods (Random Forest, XGBoost)
* Expert knowledge of deep learning for sequential data (LSTM, Bi-GRU, Attention mechanisms); familiarity with other time series architectures (1D CNN, Transformers, autoencoders)
* Ability to design, tune, and deploy deep learning models
* Experience implementing ML models in Python with TensorFlow and scikit-learn
* Experience integrating ML models in real-time environments or industrial automation systems
* Experience working with large datasets and SQL databases
- Languages
- ENGLISH
- Level
- Excellent
- Languages
- POLISH
- Level
- Basic
- Research Field
- Engineering » Mechanical engineering
- Years of Research Experience
- 4 - 10
Additional Information
Benefits
We offer a Post-Doctoral position (research associate) in the Energy Conversion Department, 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 6841 PLN/month (indicatively: equivalent to ~1120 €/month net income, subject to some variation depending on tax regulations and on the EUR/PLN exchange rate). There are no constraints as to the nationality of the applicant; however, no extra mobility allowance neither family allowance can be granted, no visa fee refund, etc.
Eligibility criteria
- PhD in mechanical engineering, physics or related fields
- Master’s or postgraduate degree in economics, finance, or energy management) will be considered an asset
- Good knowledge of written and spoken English
- High motivation for scientific work and a strong commitment to research work.
- scientific achievements
Selection process
1. Form of applications: Applications in English can be sent by e-mail.
2. Candidates interested in applying for the position should submit the following documents:
• Cover letter
• CV / scientific resume
3. During the recruitment process the selected candidates may be invited for an interview (in person or via
internet).
4. The result of the recruitment procedure will be sent to the candidates via email.
5. Please include in the application the following statement:
"I hereby authorize to process my personal data included in my application for the needs of the recruitment process
(in accordance with the Act of 08.20.1997 r. on personal data protection - Dz. U. No 133, item 883) ".
Additional comments
Indicate the title of the offer and reference number (in braces) on the application form, in the heading of
your e-mail and in all future correspondence relating to this application.
- Website for additional job details
https://www.imp.gda.pl/fileadmin/doc/imp_announcements/job/o2/z3/2026/Konkurs.p…
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Institute of Fluid Flow Machinery Polish Academy of Science
- Country
- Poland
- State/Province
- POMORSKIE
- City
- Gdansk
- Postal Code
- 80-231
- Street
- FISZERA 14
- Geofield
Contact
- City
Gdansk- Website
http://www.imp.gda.pl- Street
Fiszera 14- Postal Code
80-231
tomasz.ochrymiuk@imp.gda.pl- Phone
48 58 5225 171
STATUS: EXPIRED
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