Showing posts with label PhD. Show all posts
Showing posts with label PhD. Show all posts

PhD's for the modelling of gas-to-liquid mass transfer in slurry-bubble columns


Position
 
PhD-student
 
Irène Curie Fellowship
 
No
 
Department(s)
 
Chemical Engineering and Chemistry
 
FTE
 
1,0
 
Date off
 
31/08/2023
 
Reference number
 
V37.6702

Job description

We are seeking two highly motivated PhD candidates to undertake projects focused on the modelling of transport phenomena in slurry-bubble columns. These columns are a critical type of chemical reactor used in various large-scale manufacturing processes, including the production of fuels, chemical building blocks, and other products. The primary research objective will be to investigate the mass transfer of species between the gas and liquid phases, with a specific emphasis on the influence of bubble motion on this process.

The two PhD projects differ in terms of simulation resolution and scale:

  • The first project will involve simulating a representative volume of a moderate number of bubbles, typically in the hundreds, with fully resolved interfaces for individual bubbles. The main focus of this study will be on understanding the detailed interplay between gas-liquid hydrodynamics and species transport between the two phases.
  • The second project will focus on simulating the full reactor scale, where bubbles will be individually tracked, but their interfaces will not be fully resolved. This project will utilize deterministic and stochastic Euler-Lagrange simulation methods to investigate the impact of bubble dynamics on mass transfer and mixing. Additionally, there will be a significant experimental component to this project, involving the validation of Euler-Lagrange simulations using a laboratory-scale slurry-bubble column.

Both projects present significant challenges as they address complex hydrodynamic systems that have not been fundamentally explored before. However, gaining deeper insights into these processes is crucial for the development of novel and sustainable manufacturing processes.

The successful candidates will be part of larger project consisting of in-total six PhD students who are collectively working on three-phase gas-solid-liquid multicomponent systems with catalytic particles. These PhD projects are part of an esteemed ERC Advanced grant project titled 'Modelling of three-phase flows with catalytic particles'. The overall project encompasses a range of complexity levels and employs a multiscale approach. Direct Numerical Simulation (DNS) will be used to study transport phenomena with high accuracy in systems involving a relatively small number of bubbles and particles. Deterministic and stochastic Euler-Lagrange simulation methods will be utilized for simulating full columns at laboratory and industrial scales. The modelling work will be complemented by experimental validation.

The two advertised projects, PhD2 and PhD5, are integral components of this broader research scheme.

Job requirements

We are looking for candidates with a background in chemical, mechanical, thermal engineering, physics or a related field.

The prospective researcher is expected to have experience in modeling of transport phenomena. An affinity with the process industry is preferred. The research will be computational, therefore experience with coding and modern software development is valued. The ideal candidate has good scientific skills as well as excellent soft skills related to verbal and written  communication. The candidate should be a team player.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2.541 max. €3.247).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager prof.dr.ir. J.A.M. Kuipers, j.a.m.kuipers[at]tue.nl, tel. +31 40 247 4158.

Visit our website for more information about the application process or the conditions of employment. You can also contact Sandra van de Weijer, HR Advisor, p.j.v.d.weijer[at]tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae with details on education, employment, publications, research
  • experience, and the contact information of at least two references.
  • A list of BSc and MSc courses and grades.

We do not respond to applications that are sent to us in a different way. Please keep in mind you can upload only 5  documents up to 2 MB each. If necessary, please combine files.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until all positions are filled.

PhD on Digital Platform Support for European Experiments on Obesity Prevention


 The aim of the European project HealthyW8 is to develop and test digital interventions specifically tailored to different populations at vulnerable stages and situations in life. As one of two TUE PhDs in HealthyW8, you will advance digital platform services, integrating AI technology ethically.

Position
 
PhD-student
 
Irène Curie Fellowship
 
No
 
Department(s)
 
Industrial Engineering and Innovation Sciences
 
Strategic area(s)
 
Health
 
FTE
 
1,0
 
Date off
 
30/07/2023
 
Reference number
 
V39.6721

Job description

TUE is responsible for testing and validating a variety of digital interventions by personalized context adaptations among a group of school children as well as young adults. For both groups, both short (< 3 months) and long-term (1 year) trials will be designed and executed by TUE and its European partners. The trials will consider psychological and emotional states, technology acceptance, user-friendliness of the tools, and actual usage and engagement. The interventions will be based on novel integrations of a previously developed mobile dietary app from Luxembourg and the GameBus platform (see https://www.gamebus.eu/ and http://experiencer.eu/), which has been designed and refined via multiple TUE projects since 2015.

A first TUE PhD will be supervised primarily at the Urban Systems and Real Estate (USRE) unit of the department of the built environment. This other PhD will lead the experiment planning and organization, while you (i.e., the second TUE PhD) will be supervised at the department of Industrial Engineering for leading the information systems research, systems tailoring, and technical operations.

As the second TUE PhD, you will receive the autonomy and responsibility to propose and refine the specific research contributions that will together lead to your PhD dissertation. For that, you will be stimulated to consider also emerging AI technologies, such as large language models, especially when aiming to personalize digital technology at scale, while respecting privacy and accountability challenges that are pressing when working with children and young adolescents. In the spirit of Open Science, you will be stimulated to go beyond the state-of-the-art of data sharing for reproducibility, for example by applying novel strategies to generating synthetic data out of highly sensitive data generated by children. A variety of exploratory projects were recently conducted on these topics, and the successful candidate will excel at reconciling personal vision and competencies with such enablers from the TUE context.

You will be supported by a scientific engineer, who will be co-funded by HealthyW8. However, you should also be technically proficient and pro-active on the engineering side (programming, systematic testing, git collaboration, database interactions). You will thrive through collaborations with other PhD students with similar scientific challenges, studying and and refining novel information systems techniques for other target groups (e.g., mental healthcare, diabetes management, etc.). See https://www.wur.nl/en/newsarticle/research-on-healthy-lifestyle-for-low-literate-teenagers-gets-1.7-million-euros-1.htm for a recently approved project from which another PhD candidate and support staff will be recruited for example.

Job requirements

  • A master’s degree (or an equivalent academic degree) in Information Systems, Software Engineering, Human-Computer Interaction, or a related discipline.
  • A research-oriented attitude (accountable, visionary, ethical, collaborative, curious, …)
  • An engineering-oriented attitude (can-do, will-build, has-tested, …)
  • Affinity with web development tools (APIs, databases, at least one front-end framework)
  • Curiosity in disruptive business models to address societal challenges and contribute to sustainable development goals
  • Eagerness to work in an interdisciplinary team and a pan-European project
  • Excellent communications skills
  • Good skills for planning, pro-active monitoring and strategic pivoting
  • Fluent in spoken and written English (C1 level)
  • Professional working proficiency of Dutch is a plus, but can be compensated when excelling technically and collaborating well with the other PhD candidate

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P.
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

You are encouraged to explore the research line of your intended promotor via https://research.tue.nl/en/persons/pieter-me-van-gorp/publications/. Please contact the hiring manager dr. Pieter van Gorp, if you have specific questions about the content of this position, via e-mail p.m.e.v.gorp[at]tue.nl with the vacancy title in the subject line.

Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.IEIS[at]tue.nl.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

  • Cover letter (2 page max), which demonstrates (a) a genuine interest in this specific project and its supervision context interest, and (b) an explanation of why you meet the job requirements (see above).
  • Detailed Curriculum vitae,
  • Copy (or a most recent draft version) of your MSc thesis.
  • Transcripts of academic records indicating courses taken, including grades,
  • Contact details of two references (e-mail, phone number).

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

PhD position on Defect Driven Local Charging


Position
 
PhD-student
 
Irène Curie Fellowship
 
No
 
Department(s)
 
Applied Physics and Science Education
 
FTE
 
1,0
 
Date off
 
22/07/2023
 
Reference number
 
V34.6508

Job description

We are looking for a PhD candidate with an experimental physics background to work on defect driven local charging in in the PI-group Extreme non-equilibrium plasmas of dr.ir. Sander Nijdam. This group is part of the group Elementary Processes in Gas Discharges at the Applied Physics and Science Education Department of Eindhoven University of Technology. This project will be in cooperation with ASML Lithography and MI-Partners.

Background

To meet the International Technology Roadmap for Semiconductors (ITRS), future ASML machines require improved performance in terms of overlay, focus and throughput. Currently defectivity (particles) in the vacuum clamping gap needed for electrostatic clamping of wafers and/or reticles affects the overlay performance and the effect is expected to further deteriorate performance when moving to increased throughput.

To further minimize overlay impact and secure a technology roadmap it is needed to understand, control and optimize how particles behave in the clamping gap. This can be done for example by immobilizing the particles and/or minimizing their trapping and emission of charge or maybe even to actively remove them, e.g. by an electrostatic pickup means, after their location has been identified from scanner and/or metrology data.

Project goal

The ultimate goal is to (i) fully understand the behavior of realistic (size & shape) conducting and dielectric particles in typical clamping gaps under relevant conditions, (ii) optimize the geometry and (both) surfaces to minimize the impact of particles on the performance, (iii) improve understanding and improve the performance of today’s particle removal methods and (iv) propose, specify and develop an in-situ tool to remove such particles.

The specific goal for the PhD in this project is

(a) study the behavior of particles in a gap using first principles, numerical models and experimental verification. This includes effects like field emission, secondary emission, polarization, micro-discharges, electron induced outgassing and charge (de)trapping on dielectric materials.

(b) Specify, develop, fabricate and test improved configurations, incl. surfaces, possible treatments and cleaning methods to optimize the behavior of particles in a gap with a high electric field.

Interactions

Beyond collaboration with your project partners at TU/e, ASML and MI-Partners, you will interact with the international network of applied plasma and high voltage technology through schools and conferences.

Job requirements

The successful candidate has a Master degree and an excellent academic record in physics and or a closely related field. He/she must have a strong attitude towards experimental physics with a focus on plasma physics and/or high voltage technology. Affinity with numerical modelling (besides experimental skills) is seen as a pre.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale 27 (min. €2,541 max. €3,247).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager dr. S. Nijdam, S.Nijdam[at]tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Sam van Kampen MSc., HR Advisor, s.q.v.kampen[at]tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application. The application should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including a list of your publications and the contact information of three references.
  • If available, your bachelor or master thesis.
  • A list of courses and grades during relevant studies, including GPA in its local scale.
  • Name and contact details (email and phone) of at least one scientist able and willing to provide references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

PhD position in Reinforcement Learning


 
Position
 
PhD-student
 
Irène Curie Fellowship
 
No
 
Department(s)
 
Mathematics and Computer Science
 
FTE
 
1,0
 
Date off
 
27/08/2023
 
Reference number
 
V32.6492

Job description

The Uncertainty in Artificial Intelligence (UAI) group is a quickly growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology (https://dai.win.tue.nl). In the DAI cluster, we aim at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of Reinforcement Learning. The concrete research direction will be determined together with the successful candidate. The research topics include, but are not restricted to:

  • Reinforcement Learning: Theory and Application
  • Offline/Off-policy Reinforcement Learning
  • (Contextual) Multi-Armed Bandits
  • Fairness-aware Learning via Reinforcement Learning
  • Decision Making under Uncertainty
  • Robustness in Reinforcement Learning
  • Causality and Counterfactual Learning
  • Generative Models for Model-based Reinforcement Learning

Job requirements

  • Master's degree in Computer Science, Mathematics, or a relatedfield
  • Excellent analytical skills
  • Excellent coding skills (e.g. Python, PyTorch, Tensorflow)
  • Excellent academic writing and presentation skills
  • proficiency in English (written and spoken)
  • Desire to conduct excellent research and publish in high quality conferences andjournals
  • * Independent thinker and self-responsibility
  • Ability and desire to collaborate and work in teams
  • Ability and desire to support teaching and to co-supervise bachelor and master students

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network.

You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale 27 (min. €2,541 max. €3,247).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager ass.prof.dr. Maryam Tavakol (m.tavakol[at]tue.nl).

Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.MCS[at]tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

  • Research statement, including research experience and interests, and a short outline of the preferred futureresearch direction (max. 1 page).
  • A CV, including education history, relevant courses and theses, research experience (if available), a list of publications (if available), and teaching experience (if available).
  • Transcript of records for Bachelor's and Master's degrees.
  • Electronic copy of (or a link to) Master thesis.
  • Electronic copy of publications (if available; ifmore than 3, please submit top 3). If no publications are available, please submit some substitute, e.g. presentations slides of a given presentation.
  • Contactdetails of or recommendation letters from 2 referees.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

PhD in First mile logistics and distribution networks for mixed cropping systems


Position
 
PhD-student
 
Irène Curie Fellowship
 
No
 
Department(s)
 
Industrial Engineering and Innovation Sciences
 
FTE
 
1,0
 
Date off
 
06/08/2023
 
Reference number
 
V39.6728

Job description

At TU/e we solicit applications for a PhD project in sustainable agri-food distribution networks together with Wageningen University. Supported by a large consortium of research institutes, industrial partners and farmers, this Phd investigates alternative supply chain structures to scale-up mixed cropping systems in a sustainable way, optimising first mile logistics, distribution networks and post-harvest operations. For this purpose, decision models will be developed, which can be used to evaluate the economic viability and sustainable performance of the studied alternatives.

The project

This PhD project is part of a large multi-disciplinary research consortium funded by the Dutch Science foundation (NOW) focusing on the potential of crop mixtures as a sustainable alternative to conventional agricultural production. The goal of this research consortium is to investigate different aspects of these mixed cropping systems, ranging from crop interactions and biodiversity to innovative business models, in order to better understand the benefits as well as the underlying system requirements.

Focusing more specifically on the requirements of first mile logistics and distribution networks, the objective of this PhD position is to develop network design and distribution planning models to optimise decisions beyond the farm level related to the collection, processing, storage, and distribution of products. These mathematical models will be used to propose and analyse possible downstream supply chain configurations and gain managerial insights regarding their economic and environmental performance.

We expect the PhD student to:

  • develop a project proposal based on academic literature;
  • build relevant mathematical models for the application context;
  • design efficient algorithms to solve the built models;
  • communicate the results within the project consortium;
  • present the findings at conferences
  • and publish papers in internationally renowned journals.

TU/e and the team

The PhD students will be supervised by dr. Sonja Rohmer (TU/e), dr. Argyris Kanellopoulos (WUR), and prof. dr. Tom Van Woensel (TU/e). Sonja and Argyris both have a strong research interest in planning and decision making related to agri-food logistics, while Tom has a strong research focus on vehicle routing and freight logistics.

The project is embedded in TU/e’s Operations, Planning, Accounting, and Control (OPAC) group of the School of Industrial Engineering, and will be conducted in close collaboration with the Operations Research and Logistics (ORL) Group at the Wageningen University. The OPAC group conducts research in the area of Operations Management and Operations Research on a wide variety of problems, attracting PhD students from diverse backgrounds. The ORL group’s focus is on developing decision support models for sustainable agri-food supply chains.

Target profile

We are looking for candidates with a strong interest in sustainable development within agri-food logistics. Ideal candidates should have a solid background in mathematical methods and quantitative optimization, holding a master’s degree in a discipline relevant to the project (e.g., operations research, mathematics, agricultural/environmental economics, industrial engineering, etc.). Students should, furthermore, have prior experience with programming (e.g., Python, C++) and mathematical modelling (e.g. Gurobi, Cplex), while knowledge on important challenges of current agri-food production chains is definitely a plus.

Candidates are required to have a high level of proficiency in English and demonstrate a willingness to learn the Dutch language if no previous knowledge of the Dutch language exists.

Job requirements

  • A Master's degree in a discipline relevant to the PhD project (e.g., operations research, mathematics, agricultural/environmental economics, industrial engineering, etc.)
  • Solid background in mathematical methods and quantitative optimization
  • Programming experience (e.g., Python, C++, Gurobi, Cplex)
  • knowledge on important challenges of current agri-food production chains;
  • Fluency in English, knowledge of the Dutch language is beneficial.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale 27.
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager, dr. S.U.K Rohmer, email: s.u.k.rohmer[at]tue.nl.

More information about the OPAC group can be found here.

Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.flux[at]tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button.

The application should include the following documents (all in English):

  • Cover letter (1 page max), which includes a motivation of your interest in the vacancies;
  • An extensive curriculum vitae;
  • Course list of your Masters and Bachelor programs (including grades);
  • Results of a recent English language test, or other evidence of your English language capabilities;
  • Results of a GRE/GMAT test if available;
  • Name and contact information of two references.

If you are interested, we invite you to apply before July 3rd, 2023. You can send us your application through the online job portal of the TU/e: http://jobs.tue.nl/en/vacancies.html. We start interviewing as soon as possible and keep the position open until the position has been filled.

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47 Postdoctoral Scholarships at The University of Georgia in United States

47 Postdoctoral Scholarships at The University of Georgia in United States