Government College Women University Faisalabad

About UM6P: Mohammed VI Polytechnic University (UM6P) is a forward-looking, internationally oriented institution of higher education dedicated to excellence in teaching, research, and innovation. Its mission is firmly anchored in supporting the sustainable economic development of Morocco and the African continent. UM6P places applied research and technological innovation at the core of its academic model, with the ambition of positioning Africa-driven research at the global forefront and establishing itself as a university of international standing. Beyond the traditional role of a university, UM6P serves as a dynamic platform for experimentation, innovation, and impact. It offers a high-quality academic and living environment, supported by state-of-the-art infrastructure, cutting-edge laboratories, and a vibrant research ecosystem that empowers students, faculty, and staff to fully realize their potential. UM6P’s research philosophy is grounded in transdisciplinarity, entrepreneurship, and strong collaboration with external partners, including industry, public institutions, and international research organizations. This approach enables the development of advanced, solution-oriented science capable of addressing real-world challenges at both national and continental scales. All academic and research programs at UM6P are conceived and managed with a start-up mindset, fostering agility, autonomy, and impact. Programs are encouraged to self-organize and scale once they reach critical mass, with academic freedom strongly supported through research-driven funding models led by the teams themselves. About IWRI: The International Water Research Institute (IWRI) at Mohammed VI Polytechnic University (UM6P), located in Benguerir, Morocco, is a leading institute dedicated to interdisciplinary and transdisciplinary education, research, and innovation in the fields of water, climate, and sustainable development. IWRI’s mission is to advance cutting-edge, impact-oriented research that bridges local and regional water challenges with global water and climate issues. The institute promotes integrated scientific, technological, and policy-driven solutions to enhance resilience, sustainability, and socio-economic development, particularly in water-scarce and climate-vulnerable regions. IWRI’s core research and innovation activities focus on the following areas: Integrated Water Resources Management (IWRM) Development of water-related technologies, including irrigation, water supply and sanitation, desalination, demineralization, water treatment, recycling, and water reuse Water–Energy–Food–Health–Education Nexus Water–soil interactions, droughts, and desertification Water-related hazards and risk assessment Climate change impacts and adaptation strategies Integrated Coastal Zone Management (ICZM) Water information systems, knowledge management, and decision-support tools Forecasting, monitoring, and early warning systems Environmental sustainability and sustainable development Through strong collaboration with national and international academic institutions, public stakeholders, and industry partners, IWRI aims to strengthen its role as a regional and international reference center for water and climate research, delivering scientific excellence, technological innovation, and actionable solutions for Africa and beyond. Job Description: The International Water Research Institute (IWRI) at Mohammed VI Polytechnic University (UM6P) invites applications for a Postdoctoral Fellow position in desalination and water treatment, within the framework of an applied research project. We are seeking highly motivated candidates with demonstrated expertise in seawater desalination pretreatment, with a particular emphasis on the Membrane-Based Processes. The successful candidate will contribute to the development, optimization, and scale-up of advanced pretreatment solutions for seawater desalination. The selected candidate will join a dynamic, collaborative, and interdisciplinary research environment, characterized by a strong tradition of integrating fundamental research with applied engineering to deliver impactful, real-world solutions to pressing water challenges. Key Duties: The successful candidate will be responsible for: Seawater monitoring and characterization: Planning and conducting periodic sampling campaigns of raw seawater, and monitoring its physicochemical and biological quality. Data analysis and modeling: Processing and analyzing seawater quality data and developing statistical and mathematical models to correlate feed-water characteristics with pretreatment performance. System design and laboratory experimentation: Designing, assembling, and operating a lab-scale Membrane-Based system for seawater pretreatment, including system configuration, optimization, and performance validation. Operation and maintenance protocol development: Developing and implementing a comprehensive operation and maintenance (O&M) protocol to ensure safe, reliable, and efficient operation of Membrane-Based system. Pilot-scale testing and field deployment: Organizing and conducting field missions and pilot-scale trials to assess the efficiency, robustness, and operational behavior of the Membrane-Based pretreatment process under real seawater conditions. Performance assessment and process optimization: Collecting and interpreting operational data, diagnosing performance limitations or fouling issues, and proposing data-driven corrective actions and process improvements. Reporting and knowledge transfer: Preparing high-quality technical reports, datasets, presentations, and documentation for internal team. Scientific dissemination: Contributing to peer-reviewed scientific publications and presenting research outcomes at national and international conferences. Qualifications & Requirements: PhD in Chemical Engineering, Process Engineering, Water-Process Engineering, Membrane Materials and Processes, or a closely related discipline. Relevant experience in desalination and/or filtration systems, at laboratory, pilot, or industrial scale. A strong background in ceramic membrane materials and processes is a significant advantage. Mandatory hands-on experience with water treatment processes. Experience in water quality analysis for evaluating and monitoring the performance of water treatment systems. Proven experience in leading or contributing to research projects is highly desirable. Demonstrated ability to generate innovative ideas, build upon existing concepts, and develop novel, practical solutions. Excellent communication, teamwork, and interpersonal skills, with the ability to work effectively in multidisciplinary and multicultural environments. Fluency in English and French, both written and spoken. Demonstrated ability to write high-quality scientific manuscripts suitable for publication in high-impact, peer-reviewed journals. Willingness to travel for fieldwork and project-related activities; a valid driver’s license is required. Contract Type 1-year fixed-term contract, with the possibility of a one-year extension. Starting Date As soon as possible.

Description The Division of Engineering at New York University Abu Dhabi seeks to recruit a motivated post-doctoral associate with a strong background in control systems and machine learning to join the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to intelligent transportation systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design Creating and validating digital twin architectures that incorporate physical laws and constraints Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling ITS-specific challenges Required Qualifications: The requirements for the applicants include: Ph.D. in Electrical Engineering, Computer Science, Applied Mathematics, or related fields Strong background in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation tools Excellent publication record in peer-reviewed journals Strong written and verbal communication skills Duration: The initial appointment is for one year, with the possibility of extension based on performance and research output. How to Apply: Please submit the following documents in PDF format: Detailed CV Transcripts of Master’s and PhD degrees Research statement (max 2 pages) Three representative publications Contact information for three academic references Applications will be accepted immediately, and candidates will be considered until the position is filled. The tentative start date of the position is September 1, 2025. What We Offer: Competitive salary package Comprehensive benefits include: Generous housing allowance Transportation allowance Travel allowance for conferences and research activities Educational subsidies for children Comprehensive medical insurance coverage Relocation assistance package Access to state-of-the-art computing resources and research equipment Opportunities for professional development and networking Collaborative and innovative research environment If you have any questions, please email Prof. Muhammad Umar B. Niazi at mn3906@nyu.edu. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems ​​​​​RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals, and participate in applying for domestic and international patents. Assist in supervising PhD and Master's students, and participate in the center's collaborative projects with industry partners to promote the industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong intellectual curiosity, ability to solve problems independently, and excellent teamwork spirit. Outstanding written and oral communication skills in both Chinese and English. 2. Industrial Digital Twin and Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g., compressors, reaction kettles). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed technologies in real industrial environments. Publish high-quality academic papers and participate in writing research grant proposals. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT and Edge Computing Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation. Experience with industrial field projects or familiarity with DCS/MES systems is preferred. Excellent teamwork and communication skills. PERSONAL ATTRIBUTES Initiative: applicants should demonstrate a proactive and self-driven approach to work and should take the initiative to identify research opportunities, propose new ideas, and seek solutions to research challenges; Collaboration: The ability to communicate effectively, listen actively, and contribute constructively to group discussions is essential for successful collaboration; Resilience: applicants should demonstrate resilience and perseverance, maintaining a positive attitude and adaptability in the face of setbacks or unexpected outcomes; Ethical conduct: applicants should adhere to ethical guidelines, promote responsible research practices, and ensure the safety and well-being of themselves and others in the research environment. These personal attributes, combined with the required qualifications and expertise, contribute to the overall effectiveness and success of postdoctoral researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as: Housing allowance, Travel allowance, Relocation allowance etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays: Statutory Holidays (13 days) Annual Leave (34 days per academic year including university close days and annual leave) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental Leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Interested applicants are required to submit the application with the following files. Please combine the following application materials into a single PDF file and title it "Digital Twin and Control Systems Postdoc Application – Your Name", Detailed CV (including list of publications) Research Statement (summarizing past research achievements and future research interests) Three representative publications Three reference letters (or contact information for referees) For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn.