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<div class="quarto-title">
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<h1 class="title">PhD in AI for power grid balancing using recommenendation-enhanced Demand response</h1>
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<div class="quarto-title-meta-heading">Published</div>
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<p class="date">August 1, 2022</p>
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<h3 class="anchored" data-anchor-id="short-description">Short Description</h3>
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<p>Are you fascinated in how we can align human behavior with smart AI technologies to achieve a sustainable energy transition? In this project we aim to develop novel recommendation technology that helps energy consumers in managing their energy consumption (and production). Current methods assume users passively follow the demand-response (pricing) schemes. AI technology such as recommender algorithms could play an active role in recommending consumers how and when to distribute their energy usage and return.</p>
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<img src="img/Power_grid_masts_besides_the_new_Waalbridge_Nijmegen_-_panoramio.webp" title="Henk Monster, CC BY 3.0 <https://creativecommons.org/licenses/by/3.0>, via Wikimedia Commons" class="img-fluid figure-img">
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</figure>
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<p></p><figcaption class="figure-caption">Power Grid Balancing is a challenging task</figcaption><p></p>
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</figure>
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</div>
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</section>
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<section id="job-description" class="level3">
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<h3 class="anchored" data-anchor-id="job-description">Job Description</h3>
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<p>As part of the Ilustre lab, you will develop recommendation technologies to tailor advice on energy usage decisions in the smart grid. Demand-Response methods motivates energy consumers in some way (e.g. pricing-based) to adjust their energy usage to the available energy resources and demand. Smart grid technology allows DR to be more data-driven and a multitude of AI technologies have already been applied to DR but the consumer side of has not been developed much. However, modeling and supporting the energy decisions of users is crucial, as a smart grid will only be successful if the users of the systems behave predictable and in the most energy efficient way. For example, charging your electric car when the solar PV generated in the neighborhood is highest will put the smallest load on the grid and will be cheapest, but can only be achieved if it fits in the users’ calendar and daily habits.</p>
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<p>In this project you will extend current AI energy consumption forecasting and DR methods with tailored and explainable recommendations that will provide both household and industry consumers with tailored advice how to adjust for Demand Response. As many stakeholders are involved, and dynamic changes in energy usage will affect other consumers in the network, a multi-stakeholder perspective on recommendations should be employed. You will work together with other PhD students in the lab that will work on forecasting and on identifying the stakeholders.</p>
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<p>In the project you will review existing methods for AI in DR, work on recommender model and approaches, test several of these models in prototypes and in a pilot project within the Ilustre lab.</p>
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</section>
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<section id="job-requirements" class="level3">
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<h3 class="anchored" data-anchor-id="job-requirements">Job Requirements</h3>
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<ul>
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<li>A master’s degree (or an equivalent university degree) in computer science, data science, AI or related, with a strong background in machine learning and recommender systems. Affinity with human-computer interaction methods and interest in human cognition and decision making is a plus.</li>
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<li>A research-oriented attitude.</li>
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<li>Ability to work in a team and interest in collaborating with the industrial partners.</li>
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<li>Ability to communicate and translate the research results to practice.</li>
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||||
<li>Academic curiosity and an interest to collaborate in a multidisciplinary context.</li>
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<li>Fluent in spoken and written English (C1 level).</li>
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</ul>
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</section>
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<section id="conditions-of-employment" class="level3">
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<h3 class="anchored" data-anchor-id="conditions-of-employment">Conditions of Employment</h3>
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<p>Being appointed at JADS provides a meaningful job in a dynamic and ambitious community of two universities and startups.</p>
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<p>As a PhD Student at JADS you will have a full-time employment for a total of four years, with an intermediate evaluation after nine months. JADS offers excellent employment conditions with attention to flexibility and (personal) development and attractive fringe benefits. The gross monthly salary is in accordance with the Collective Labor Agreement for Dutch Universities. You are entitled to a vacation allowance of 8% and a year-end bonus of 8.3% of your gross annual income. If you work 40 hours per week, you will receive 41 paid days of leave per year. PhD Students from outside the Netherlands may qualify for a tax-free allowance of 30% of their taxable salary if they meet the relevant conditions. The university applies for this allowance on their behalf. JADS will provide assistance in finding suitable accommodation.</p>
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<p>To develop your teaching skills, you will spend 10% of your employment on teaching tasks. To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students.</p>
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<p>Next to that we offer all kinds of facilities and arrangements to maintain an optimal balance between work and private life. All employees of the university are covered by the so-called General Pension Fund for Public Employers (Stichting Pensioenfonds ABP).</p>
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||||
<p>JADS values an open and inclusive culture. We embrace diversity and encourage the mutual integration of groups of employees and students. We focus on creating equal opportunities for all our employees and students so that everyone feels at home in our university community.</p>
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||||
<p>All researchers working in JADS have contracts at either Tilburg University or Eindhoven University of Technology. Please visit Working at <a href="https://www.tilburguniversity.edu/about/working">Tilburg University</a> and Working at <a href="https://www.tue.nl/en/working-at-tue/">Eindhoven University of Technology</a> for more information on their respective employment conditions.</p>
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<h3 class="anchored" data-anchor-id="more-information">More Information</h3>
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||||
<p>Do you recognize yourself in this profile and would you like to know more? Please contact <a href="mailto:M.C.Willemsen@jads.nl">Dr. Martijn Willemsen</a> or <a href="mailto:C.Zucca@jads.nl">Dr. Claudia Zucca</a>. For information about terms of employment, please contact <a href="@mailto:m.a.a.v.gerven@jads.nl">Marielle van Gerven, HR Advisor</a> or <a href="tel:+31402473699">call</a></p>
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<p>We invite you to submit a complete application by using the ‘apply now’-button on this page. The application should include a:</p>
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<li>Cover letter in which you describe your motivation and qualifications for the position.</li>
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<li>Curriculum vitae, including a list of your publications and the contact information of three references.</li>
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<li>Brief description of your MSc thesis.</li>
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<p>We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.</p>
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<h1 class="title">PhD in AI for power load and renewable energy forecasting in electricity grids</h1>
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<p class="date">July 29, 2022</p>
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<h3 class="anchored" data-anchor-id="short-description">Short Description</h3>
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<p>Are you an enthusiastic and ambitious researcher with a completed master’s degree in a field related to machine learning (Computer science, AI, Data Science), or in Electrical Engineering with an affinity for AI and deep learning? Does the idea of working on real-world problem, and working with industry partners excite you? Are you passionate about using deep learning and explainable AI methods for power-load forecasting and achieving promising and renewable-energy forecasting?</p>
|
||||
<p>We are recruiting a PhD candidate who will develop accurate AI-powered electricity grid forecasting methods and trial them with industrial partners who work in the Dutch Caribbean islands.</p>
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<p></p><figcaption class="figure-caption">Renewal Energy generation is unpredictable</figcaption><p></p>
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<h3 class="anchored" data-anchor-id="job-description">Job Description</h3>
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<p>This position is linked to ILUSTRE, a new Innovation Center for Artificial Intelligence (ICAI) to be established in Curaçao. ILUSTRE will be a living lab in the Caribbean with the objective to develop, implement and test AI innovations that will accelerate the use of clean energy and advanced solutions in water treatment and wastewater recycling/purification. The innovation lab is one of the new ICAI labs that are part of the ROBUST program on Trustworthy AI-based Systems for Sustainable Growth which is financed under the NWO LTP funding scheme. ILUSTRE offers opportunities for PhD candidates who wish to support to the acceleration of the energy transition and who have an affinity with the Dutch Caribbean islands.</p>
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|
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<li>Essential:
|
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<li>A master’s degree (or an equivalent university degree) in Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, or a closely related quantitative subject.</li>
|
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<li>A research-oriented attitude.</li>
|
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<li>Ability to work in a team</li>
|
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<li>Interest in collaborating with the industrial partners.</li>
|
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<li>Fluent in spoken and written English (C1 level).</li>
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|
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<h3 class="anchored" data-anchor-id="conditions-of-employment">Conditions of Employment</h3>
|
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<p>Being appointed at JADS provides a meaningful job in a dynamic and ambitious community of two universities and startups.</p>
|
||||
<p>As a PhD Student at JADS you will have a full-time employment for a total of four years, with an intermediate evaluation after nine months. JADS offers excellent employment conditions with attention to flexibility and (personal) development and attractive fringe benefits. The gross monthly salary is in accordance with the Collective Labor Agreement for Dutch Universities. You are entitled to a vacation allowance of 8% and a year-end bonus of 8.3% of your gross annual income. If you work 40 hours per week, you will receive 41 paid days of leave per year. PhD Students from outside the Netherlands may qualify for a tax-free allowance of 30% of their taxable salary if they meet the relevant conditions. The university applies for this allowance on their behalf. JADS will provide assistance in finding suitable accommodation.</p>
|
||||
<p>To develop your teaching skills, you will spend 10% of your employment on teaching tasks. To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students.</p>
|
||||
<p>Next to that we offer all kinds of facilities and arrangements to maintain an optimal balance between work and private life. All employees of the university are covered by the so-called General Pension Fund for Public Employers (Stichting Pensioenfonds ABP).</p>
|
||||
<p>JADS values an open and inclusive culture. We embrace diversity and encourage the mutual integration of groups of employees and students. We focus on creating equal opportunities for all our employees and students so that everyone feels at home in our university community.</p>
|
||||
<p>All researchers working in JADS have contracts at either Tilburg University or Eindhoven University of Technology. Please visit Working at <a href="https://www.tilburguniversity.edu/about/working">Tilburg University</a> and Working at <a href="https://www.tue.nl/en/working-at-tue/">Eindhoven University of Technology</a> for more information on their respective employment conditions.</p>
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<h3 class="anchored" data-anchor-id="more-information">More Information</h3>
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<p>Do you recognize yourself in this profile and would you like to know more? Please contact <a href="mailto:D.Stowell@tilburguniversity.edu">Dr. Dan Stowell</a> or <a href="mailto:C.Güven@tilburguniversity.edu">Dr. Çiçek Güven</a>. For information about terms of employment, please contact <a href="mailto:m.a.a.v.gerven@jads.nl">Marielle van Gerven, HR Advisor</a> or <a href="tel:+31402473699">call</a></p>
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<p>We invite you to submit a complete application by using the ‘apply now’-button on this page. The application should include a:</p>
|
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|
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<li>Cover letter in which you describe your motivation and qualifications for the position.</li>
|
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<li>Curriculum vitae, including a list of your publications and the contact information of three references.</li>
|
||||
<li>Brief description of your MSc thesis.</li>
|
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|
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<p>We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.</p>
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<p><a><button name="button" style="color: red" onclick="https://lanubia.com">Apply Now</button></a></p>
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<h1 class="title">PhD in AI for predictive maintenance in water and electricity infrastructure</h1>
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<p>Are you interested in building deep learning solutions to achieve real-time-based predictive maintenance algorithms for real-world applications? In this project, you will be exploring unsupervised and self-supervised learning methods. Moreover, you will have the possibility to test the results of your work with water and energy providers. This position is part of a collaboration between several industrial and academic partners.</p>
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|
||||
<p>Predictive maintenance offers great potential value to the energy and water supply industry. Timely detection of required maintenance of machines, sensors, or other critical infrastructure can prevent service disruptions and costly loss of resources. For instance, visual sensors can be used to analyze and detect subtle patterns, and auditory sensors can pick up subtle sound changes.</p>
|
||||
<p>Artificial intelligence allows for improved prediction performance on predictive maintenance tasks. However, one of the main challenges is dealing with real-time-based predictive maintenance. Instead of treating predictive maintenance as a simple alert monitoring, real-time-based predictive maintenance offers an estimate of time-to-failure. You will be addressing this challenge by working with large amounts of unlabeled visual and auditory datasets to create models for continuous and reliable monitoring of system states that can accurately predict time-to-failure.</p>
|
||||
<p>You will work on deep learning solutions to achieve real-time-based predictive maintenance algorithms. These models will be based on unsupervised and self-supervised learning, and you will work with both discriminative and generative models. Moreover, you will study the accuracy, reliability, and possible integration of these models with water and energy providers and other industrial partners.</p>
|
||||
<p>Your work will contribute to achieving a more reliable distribution of energy and water and to the more general goal of building robust machine learning for a sustainable society.</p>
|
||||
<p>You will be part of the Jheronimus Academy of Data Science in ’s-Hertogenbosch and closely collaborate with Tilburg University and the Eindhoven University of Technology.</p>
|
||||
</section>
|
||||
<section id="job-requirements" class="level3">
|
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<h3 class="anchored" data-anchor-id="job-requirements">Job Requirements</h3>
|
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<p>We are looking for candidates that meet the following criteria: - Master’s degree in a relevant field - e.g. Artificial Intelligence, Computer Science, Engineering, Cognitive Science. - Good knowledge of the theory and application of machine learning, particularly deep learning - demonstrable experience with self-supervised learning or deep generative models is a plus. - Well-developed programming skills - experience with deep learning frameworks is expected. - Good communicative skills in English, both in speaking and in writing (C1 level).</p>
|
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|
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<h3 class="anchored" data-anchor-id="conditions-of-employment">Conditions of Employment</h3>
|
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<p>Being appointed at JADS provides a meaningful job in a dynamic and ambitious community of two universities and startups.</p>
|
||||
<p>As a PhD Student at JADS you will have a full-time employment for a total of four years, with an intermediate evaluation after nine months. JADS offers excellent employment conditions with attention to flexibility and (personal) development and attractive fringe benefits. The gross monthly salary is in accordance with the Collective Labor Agreement for Dutch Universities. You are entitled to a vacation allowance of 8% and a year-end bonus of 8.3% of your gross annual income. If you work 40 hours per week, you will receive 41 paid days of leave per year. PhD Students from outside the Netherlands may qualify for a tax-free allowance of 30% of their taxable salary if they meet the relevant conditions. The university applies for this allowance on their behalf. JADS will provide assistance in finding suitable accommodation.</p>
|
||||
<p>To develop your teaching skills, you will spend 10% of your employment on teaching tasks. To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students.</p>
|
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<p>Next to that we offer all kinds of facilities and arrangements to maintain an optimal balance between work and private life. All employees of the university are covered by the so-called General Pension Fund for Public Employers (Stichting Pensioenfonds ABP).</p>
|
||||
<p>JADS values an open and inclusive culture. We embrace diversity and encourage the mutual integration of groups of employees and students. We focus on creating equal opportunities for all our employees and students so that everyone feels at home in our university community.</p>
|
||||
<p>All researchers working in JADS have contracts at either Tilburg University or Eindhoven University of Technology. Please visit Working at <a href="https://www.tilburguniversity.edu/about/working">Tilburg University</a> and Working at <a href="https://www.tue.nl/en/working-at-tue/">Eindhoven University of Technology</a> for more information on their respective employment conditions.</p>
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<h3 class="anchored" data-anchor-id="more-information">More Information</h3>
|
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<p>Do you recognize yourself in this profile and would you like to know more? Please contact <a href="mailto:J.S.Olier@tilburguniversity.edu">Dr. Juan Sebastian Olier</a>) or <a href="mailto:E.O.Postma@jads.edu">Prof. Dr. Eric Postma</a>. For information about terms of employment, please contact <a href="mailto:m.a.a.v.gerven@jads.nl">Marielle van Gerven, HR Advisor</a> or <a href="tel:+31402473699">call</a></p>
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|
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|
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<div class="quarto-title">
|
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<h1 class="title">PhD in AI for Water Desalination, recycling and purification</h1>
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<div class="quarto-title-meta">
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<div class="quarto-title-meta-heading">Published</div>
|
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<div class="quarto-title-meta-contents">
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<p class="date">July 29, 2022</p>
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<h3 class="anchored" data-anchor-id="short-description">Short Description</h3>
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<p>Are you fascinated by how clean water and sanitation can be provided to citizens in an energy-efficient and environmentally friendly way? Are you eager to work on developing advanced technology for optimizing the decisions to manage clean water production systems? Are you passionate about creating scientific breakthroughs in artificial intelligence for managing scarce water supplies?</p>
|
||||
<p>Then you might be our next PhD who will develop artificial intelligence systems to support the complex operational decisions needed to improve water desalination, recycling, and purification processes.</p>
|
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<img src="img/Reverse_osmosis_desalination_plant.webp" title="James Grellier, CC BY-SA 3.0 <https://creativecommons.org/licenses/by-sa/3.0>, via Wikimedia Commons" class="img-fluid figure-img">
|
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|
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<p></p><figcaption class="figure-caption">Water Desalination is an expensive activity</figcaption><p></p>
|
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|
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<p>Clean water and sanitation is one of the 17 Sustainable Development Goals of United Nations. Reaching these goals in an energy-efficient, environmentally friendly and sustainable way requires optimization and balancing of multiple decisions in a complex setting. For example, the recent trend to use renewable energy sources for desalination and wastewater treatment makes the decision process more complicated, due to the temporal variability of these sources. To deal with this complexity, AI systems that go beyond the current point solutions are needed, while also considering the broader perspective and a balanced interaction between the computerized systems and human experts, providing them with understandable explanations on the inner working of the AI system. The scientific challenge of this PhD project is to develop hybrid AI solutions that combine advanced prediction methods (e.g. deep learning algorithms), multi-objective optimization and adaptive models with explainable AI decision-making methods from computational intelligence to realize such a balance. As the PhD working on this challenge, you will become part of the Computational Intelligence for Decision Support Lab at JADS and will collaborate with other PhDs working Data Analytics Unit. You will also contribute to the Trustworthy AI-based Systems for Sustainable Growth Lab (ILUSTRE) in which this project is embedded. In this diverse, inclusive, and interdisciplinary environment, you are expected to collaborate closely with our social and industrial partners from the Netherlands and Curaçao.</p>
|
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|
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|
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<h3 class="anchored" data-anchor-id="job-requirements">Job Requirements</h3>
|
||||
<ul>
|
||||
<li>A master’s degree (or an equivalent university degree) in artificial intelligence, data science, computer science or an equivalent quantitative field.</li>
|
||||
<li>A research-oriented attitude.</li>
|
||||
<li>Ability to work in a team while also taking a pro-active attitude to drive your own research in collaboration with industrial partners and other stakeholders.</li>
|
||||
<li>Fluent in spoken and written English (C1 level).</li>
|
||||
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|
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</section>
|
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|
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<h3 class="anchored" data-anchor-id="conditions-of-employment">Conditions of Employment</h3>
|
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<p>Being appointed at JADS provides a meaningful job in a dynamic and ambitious community of two universities and startups.</p>
|
||||
<p>As a PhD Student at JADS you will have a full-time employment for a total of four years, with an intermediate evaluation after nine months. JADS offers excellent employment conditions with attention to flexibility and (personal) development and attractive fringe benefits. The gross monthly salary is in accordance with the Collective Labor Agreement for Dutch Universities. You are entitled to a vacation allowance of 8% and a year-end bonus of 8.3% of your gross annual income. If you work 40 hours per week, you will receive 41 paid days of leave per year. PhD Students from outside the Netherlands may qualify for a tax-free allowance of 30% of their taxable salary if they meet the relevant conditions. The university applies for this allowance on their behalf. JADS will provide assistance in finding suitable accommodation.</p>
|
||||
<p>To develop your teaching skills, you will spend 10% of your employment on teaching tasks. To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students.</p>
|
||||
<p>Next to that we offer all kinds of facilities and arrangements to maintain an optimal balance between work and private life. All employees of the university are covered by the so-called General Pension Fund for Public Employers (Stichting Pensioenfonds ABP).</p>
|
||||
<p>JADS values an open and inclusive culture. We embrace diversity and encourage the mutual integration of groups of employees and students. We focus on creating equal opportunities for all our employees and students so that everyone feels at home in our university community.</p>
|
||||
<p>All researchers working in JADS have contracts at either Tilburg University or Eindhoven University of Technology. Please visit Working at <a href="https://www.tilburguniversity.edu/about/working">Tilburg University</a> and Working at <a href="https://www.tue.nl/en/working-at-tue/">Eindhoven University of Technology</a> for more information on their respective employment conditions.</p>
|
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|
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|
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<h3 class="anchored" data-anchor-id="more-information">More Information</h3>
|
||||
<p>Do you recognize yourself in this profile and would you like to know more? Please contact <a href="mailto:u.kaymak@jads.nl">Prof. Dr. Rr. U. Kaymak</a> or <a href="tel:+31402472793">call</a>. For information about terms of employment, please contact <a href="mailto:m.a.a.v.gerven@jads.nl">Marielle van Gerven, HR Advisor</a> or <a href="tel:+31402473699">call</a></p>
|
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<p>We invite you to submit a complete application by using the ‘apply now’-button on this page. The application should include a:</p>
|
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<ul>
|
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<li>Cover letter in which you describe your motivation and qualifications for the position.</li>
|
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|
||||
<li>Brief description of your MSc thesis.</li>
|
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|
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<div class="quarto-title">
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<h1 class="title">PhD in Social support for real world introduction of AI in critical infrastructure</h1>
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<div class="quarto-title-meta-heading">Published</div>
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<div class="quarto-title-meta-contents">
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<p class="date">August 1, 2022</p>
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<section id="short-description" class="level3">
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<h3 class="anchored" data-anchor-id="short-description">Short Description</h3>
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<p>The social impact of technology on its users has been vastly proved to be enormous since it might pose organizational and social obstacles. Acceptance of new technologies, especially in the energy field, has been recognized as one of the primary barriers to implementing technological innovations.</p>
|
||||
<p>In the context of the ILUSTRE project, we will investigate the impact of IT technology on the energy and water supply domains. The project will focus on two main aspects: 1) the impact on the partner industries’ managers and employees; 2) the impact on the broader society - since AI technology will affect the quality and the features of the services provided to the population. We model these social processes through social networks and predict possible social outcomes of interventions in the networks employing statistics, system dynamics modelling and ABMs.</p>
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</figure>
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<p></p><figcaption class="figure-caption">Impact of AI on Human Society</figcaption><p></p>
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</section>
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<section id="job-description" class="level3">
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<h3 class="anchored" data-anchor-id="job-description">Job Description</h3>
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<p>In this position, you will be collecting data using group model building (GMB) and survey methodology. Then you will employ social network analysis (SNA) to monitor the extent to which the employees and the larger public (together called the stakeholders) receive and respond to the implementation. These techniques will be used in conjunction with system dynamics and agent-based simulation models.</p>
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<h3 class="anchored" data-anchor-id="job-requirements">Job Requirements</h3>
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<ul>
|
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<li>A master’s degree in Computational Social Science, Statistics, Computer Science, Data Science, Sociology, Political Science, Organizational Studies with a strong quantitative background, or related disciplines.</li>
|
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<li>Preferably experience with Social Network Analysis, Data collection techniques, System Dynamics Modelling, Agent Based Modelling.</li>
|
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<li>Strong programming skills, preferably in R.</li>
|
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<li>A research-oriented attitude and interest in collaborating with the industrial partners</li>
|
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<li>Experience in dealing with stakeholders.</li>
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<h3 class="anchored" data-anchor-id="conditions-of-employment">Conditions of Employment</h3>
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<p>Being appointed at JADS provides a meaningful job in a dynamic and ambitious community of two universities and startups.</p>
|
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<p>As a PhD Student at JADS you will have a full-time employment for a total of four years, with an intermediate evaluation after nine months. JADS offers excellent employment conditions with attention to flexibility and (personal) development and attractive fringe benefits. The gross monthly salary is in accordance with the Collective Labor Agreement for Dutch Universities. You are entitled to a vacation allowance of 8% and a year-end bonus of 8.3% of your gross annual income. If you work 40 hours per week, you will receive 41 paid days of leave per year. PhD Students from outside the Netherlands may qualify for a tax-free allowance of 30% of their taxable salary if they meet the relevant conditions. The university applies for this allowance on their behalf. JADS will provide assistance in finding suitable accommodation.</p>
|
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<p>To develop your teaching skills, you will spend 10% of your employment on teaching tasks. To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students.</p>
|
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<p>Next to that we offer all kinds of facilities and arrangements to maintain an optimal balance between work and private life. All employees of the university are covered by the so-called General Pension Fund for Public Employers (Stichting Pensioenfonds ABP).</p>
|
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<p>JADS values an open and inclusive culture. We embrace diversity and encourage the mutual integration of groups of employees and students. We focus on creating equal opportunities for all our employees and students so that everyone feels at home in our university community.</p>
|
||||
<p>All researchers working in JADS have contracts at either Tilburg University or Eindhoven University of Technology. Please visit Working at <a href="https://www.tilburguniversity.edu/about/working">Tilburg University</a> and Working at <a href="https://www.tue.nl/en/working-at-tue/">Eindhoven University of Technology</a> for more information on their respective employment conditions.</p>
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<h3 class="anchored" data-anchor-id="more-information">More Information</h3>
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<p>Do you recognize yourself in this profile and would you like to know more? Please contact <a href="mailto:r.t.a.j.leenders@jads.nl">Prof. Dr. Roger Leenders</a> or <a href="mailto:C.Zucca@jads.nl">Dr. Claudia Zucca</a>. For information about terms of employment, please contact <a href="@mailto:m.a.a.v.gerven@jads.nl">Marielle van Gerven, HR Advisor</a> or <a href="tel:+31402473699">call</a></p>
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<li>Brief description of your MSc thesis.</li>
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|
||||
const ref = noterefs[i];
|
||||
tippyHover(ref, function() {
|
||||
let href = ref.getAttribute('href');
|
||||
try { href = new URL(href).hash; } catch {}
|
||||
const id = href.replace(/^#\/?/, "");
|
||||
const note = window.document.getElementById(id);
|
||||
return note.innerHTML;
|
||||
});
|
||||
}
|
||||
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
|
||||
for (var i=0; i<bibliorefs.length; i++) {
|
||||
const ref = bibliorefs[i];
|
||||
const cites = ref.parentNode.getAttribute('data-cites').split(' ');
|
||||
tippyHover(ref, function() {
|
||||
var popup = window.document.createElement('div');
|
||||
cites.forEach(function(cite) {
|
||||
var citeDiv = window.document.createElement('div');
|
||||
citeDiv.classList.add('hanging-indent');
|
||||
citeDiv.classList.add('csl-entry');
|
||||
var biblioDiv = window.document.getElementById('ref-' + cite);
|
||||
if (biblioDiv) {
|
||||
citeDiv.innerHTML = biblioDiv.innerHTML;
|
||||
}
|
||||
popup.appendChild(citeDiv);
|
||||
});
|
||||
return popup.innerHTML;
|
||||
});
|
||||
}
|
||||
var localhostRegex = new RegExp(/^(?:http|https):\/\/localhost\:?[0-9]*\//);
|
||||
var filterRegex = new RegExp(/https:\/\/ilustre\.tools\.lanubia\.com/);
|
||||
var isInternal = (href) => {
|
||||
return filterRegex.test(href) || localhostRegex.test(href);
|
||||
}
|
||||
// Inspect non-navigation links and adorn them if external
|
||||
var links = window.document.querySelectorAll('a:not(.nav-link):not(.navbar-brand):not(.toc-action):not(.sidebar-link):not(.sidebar-item-toggle):not(.pagination-link):not(.no-external)');
|
||||
for (var i=0; i<links.length; i++) {
|
||||
const link = links[i];
|
||||
if (!isInternal(link.href)) {
|
||||
// target, if specified
|
||||
link.setAttribute("target", "_blank");
|
||||
// default icon
|
||||
link.classList.add("external");
|
||||
}
|
||||
}
|
||||
});
|
||||
</script>
|
||||
</div> <!-- /content -->
|
||||
<footer class="footer">
|
||||
<div class="nav-footer">
|
||||
<div class="nav-footer-center">Copyright 2021-2022, LaNubia Consulting</div>
|
||||
</div>
|
||||
</footer>
|
||||
|
||||
|
||||
|
||||
</body></html>
|
||||
BIN
_site/jobs/img/Maintenance_work_in_the_refinery.webp
Normal file
BIN
_site/jobs/img/Maintenance_work_in_the_refinery.webp
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.0 MiB |
Binary file not shown.
|
After Width: | Height: | Size: 1.1 MiB |
BIN
_site/jobs/img/Renewable_Energy_on_the_Grid.webp
Normal file
BIN
_site/jobs/img/Renewable_Energy_on_the_Grid.webp
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 138 KiB |
BIN
_site/jobs/img/Reverse_osmosis_desalination_plant.webp
Normal file
BIN
_site/jobs/img/Reverse_osmosis_desalination_plant.webp
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.3 MiB |
BIN
_site/jobs/img/Roboy_270213_2.webp
Normal file
BIN
_site/jobs/img/Roboy_270213_2.webp
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.6 MiB |
Reference in New Issue
Block a user