PhD Scholarship in Process Systems Engineering and Artificial Intelligence/Machine Learning for Process Safety Applications – Koç University - Chemical and Biological Engineering

28 Dec 2023
Job Information

Organisation/Company

Koç University

Department

Chemical and Biological Engineering Department

Research Field

Engineering » Chemical engineering
Engineering » Process engineering
Engineering » Mechanical engineering
Engineering » Civil engineering

Researcher Profile

First Stage Researcher (R1)

Country

Turkey

Application Deadline

21 Jan 2024 - 23:59 (Europe/Istanbul)

Type of Contract

Other

Job Status

Other

Is the job funded through the EU Research Framework Programme?

HE

Reference Number

101119358

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

No

Offer Description

I am looking to recruit 1 Doctoral Candidate (DCs) as part of PROSAFE MSCA doctoral training network. The recruited DCs will have the opportunity to work as part of an international team of 12 doctoral candidates based at universities and companies throughout Europe. DCs will have multiple opportunities to participate in professional and personal development training and undertake research within multidisciplinary fields of AI/ML and PSE for safe and efficient process operations.

This position is fully funded by the Marie Skłodowska-Curie European Training Network “PROSAFE”, which aims to train a cohort of 12 doctoral students in the domain of application of machine learning/AI, and process systems engineering to advance foundations of process safety. 

If you are establishing your career as a young professional in process systems engineering and machine learning/AI and looking for expanding your professional network in process industries studying safe transition to renewable and sustainable process industries, here you have a unique opportunity.

Be part of PROSAFE doctoral training network and establish a great foundation for pursuing your dreams and ambitions. At Koç University Chemical and Biological Engineering Department, you will break new ground at the forefront of what is possible with deploying process systems engineering and emerging machine learning/AI paradigm for ensuring safer and sustainable process operations.

Requirements

Research Field

Engineering » Chemical engineering

Education Level

Master Degree or equivalent

Research Field

Engineering » Process engineering

Education Level

Master Degree or equivalent

Research Field

Engineering » Mechanical engineering

Education Level

Master Degree or equivalent

Research Field

Engineering » Civil engineering

Education Level

Master Degree or equivalent

Skills/Qualifications

Responsibilities and qualifications
The recruited researchers will undertake research across interdisciplinary topics namely: (1) Develop AI and ML (interpretable ML) models using domain knowledge for efficient, safe, and reliable operations. (2)  Develop synergistic integration of model-based with data-based methods for improved process safety operation and monitoring and (3) Demonstration and validation of these new concepts and methods on industrial relevant case studies for safe process operations. Case studies will be drawn from urea processing, hydrogen production and liquefaction, and low carbon/renewable fuels production.
 

Qualifications

• A two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.
• An MSc degree in the following subject areas: chemical engineering, process engineering, mechanical/civil engineering, or equivalent
• Domain knowledge (for example thesis) in process systems engineering applied to modelling & simulation, process design, process control/monitoring or process optimization 
• Experience with equation/object-oriented programming (this is an asset but not a requirement): Process simulation (Aveva Process Simulation, ASPEN Tech, INOSIM), Optimization (GAMS,  PYOMO), Programming (Python, Julia, Matlab or similar)
• Curious and an appetite for developing AI/ML competences 
• Curious and an appetite for solving complex problems applying a systems approach
• In accordance with the European Union’s funding rules for doctoral networks, applicants must NOT yet have a PhD & The applicant must not have resided or carried out her/his main activity (work, studies etc.) in Türkiye for more than 12 months in the past 3 years.

 

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits

We offer
Koç University is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms 
The period of employment is 3 years.

Moreover as the Doctoral Network “PROSAFE” is financed by the European Union under the framework of the program HORIZON Europe, Marie Skłodowska-Curie Actions, the salary will be in agreement with the MSCA rules. The doctoral candidate will be hired for 36 months under contract by Koç University Chemical and Biochemical Engineering Department. The gross salary before taxes for the doctoral candidate is 3400 EUR (base amount) *0,65 (Türkiye country coefficient) + 600 EUR (mobility allowance) = Total salary of 2710 EUR. From this will be deducted direct taxes and social security contributions under Turkish law. (Candidates may contact Koç University for more information). The other allowances that depend on eligibility, e.g. family allowance, are not included in the total salary).

 

Eligibility criteria

Application procedure 
Your complete online application must be submitted no later than 21 January 2024 (23:59 Türkiye time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please use the link at Koç University.

Incomplete applications will not be considered. You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it. 

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.
 

 

Selection process

Assessment
The assessment of the applicant will be made by the Graduate Program Committee of the Chemical and Biological Engineering Department.

Approval and Enrolment 
The scholarships for the PhD degree are subject to academic approval, and the candidatewill be enrolled in Chemical and Biological Engineering Department at Koç University. For information about our enrolment requirements and the general planning of the PhD study programme, please see https://gsse.ku.edu.tr/en/graduate-programs/chemical-and-biological-engineering/program-overview/

Additional comments

PROSYS research center perform research in the field of process systems engineering and AI/machine learning and their application for life sciences industries. The research aims to advance computer-aided methods for the design, scale-up and optimization of processes and systems for life sciences, bio/pharma, biotech and water industries. Our vision is to contribute to development of cost-competitive and safe processing and manufacturing excellence in targeted process industries (fermentation, bio/pharmaceuticals, food and environmental biotechnology and renewable fuels and chemicals) and realize sustainable and safe operation paradigm for manufacturing.

Further information 
Further information can be obtained from Prof. Can Erkey [email protected]

Work Location(s)

Number of offers available

1

Company/Institute

Koç University

Country

Turkey

Geofield

Where to apply

E-mail

[email protected]

Contact

City

Istanbul

Website

https://www.ku.edu.tr/en/home

Street

Sariyer

E-Mail

[email protected]

STATUS: EXPIRED