PROGRAMS

PhD in Chemical Engineering 7 1

Contact us:

e-mail:
seds@nu.edu.kz

Landline:
+7 (7172) 706423 , +7 (7172) 694536 (Program related questions)

Admissions call-center:
+7 (7172) 70 65 55

Program Overview 

The PhD program in Robotics Engineering (further in the text: PhD program), fully taught in English, is designed to provide advanced skills and a sophisticated knowledge for individuals planning a career in academia, industry and research settings in any subfield of robotics. The program focuses on the development of an in-depth understanding of the nature, implementation, and evaluation of robotics principles and applications together with the growth of research skills. The current areas of research interest for the PhD in Robotics Engineering encompass a wide spectrum, with specific focus on priority areas for Kazakhstan, such as intelligent systems, industrial automation, human-robot interaction, and medical & rehabilitation robotics.

These areas are also aligned with the well-known international research priorities, such as: Leadership in Enabling and Industrial Technologies (Information and Communication Technologies; Advanced Manufacturing and Processing, Robotics); Health, demographic change and wellbeing (Improving diagnosis; Innovative treatments and technologies; Integrated, sustainable, citizen-centered care).

By the completion of the PhD program, students will be capable of designing and conducting independent, innovative, original and high-quality research in robotics engineering. In addition, the program will prepare graduates for careers in industrial and academic environments, e.g., as university faculty members, senior researchers, engineers, and product developers.

The PhD program has been designed in line with the revised Graduate Programs Framework of Nazarbayev University (2019).

Entry requirements

Applicants applying to the Program are expected to have:

1. An undergraduate degree (Bachelor’s degree or equivalent)

2. A Master’s degree or equivalent

During the application period final year students may submit official current transcript for consideration.

3. A competitive CGPA in applicant’s Master’s (or equivalent) degree.

4. High level of English proficiency

The absolute minimum requirement for English language proficiency test reports for admission to the program is:

1) Overall IELTS test score of 6.5 (with sub-scores no less than 6.0) or the equivalent TOEFL score as posted on the ETS website;

2) Applicants, at the discretion of the Admissions Committee, can be exempted from submitting the language proficiency test report if:

- one of their earlier academic degrees was earned in a country with English as the language of official communication, academic instruction and daily life;

- an undergraduate and/or graduate degree was earned in a program which was officially taught in English.

5. Strong reading, analytical, and mathematical skills as demonstrated by GRE test (recommended);

6. High motivation and strong interest in the Program as outlined in a statement of purpose;

7. Relevant research interest and knowledge of research subject as demonstrated in a written research proposal;

8. Resume;

9. Two letters of recommendation (one from academic source).

Application package checklist:

1. Complete Application form;

2. National ID (for the citizens of the Republic of Kazakhstan) and passport (for international applicants);

3. Official document confirming name change (if applicable);

4. Degree diplomas (Bachelor’s and Master’s or equivalents) with transcripts;

During the application period final year students may upload official current transcript for consideration.

5. IELTS or TOEFL certificate valid as of date of online documents submission;

6. Document confirming English as the language of instruction (only for applicants who earned their degree in a program which was taught in English and request an exemption from submitting IELTS or TOEFL).

Applicants should provide a detailed certificate/reference from the university indicating the number and list of subjects completed in English.

7. GRE certificate valid as of date of online documents submission (recommended);

8. Statement of purpose outlining the applicant’s prior educational career, statement of his/her interest in the Program, his/her long-term career goals, and how the program would help him/her to achieve these goals (500 words);

9. Two confidential letters of recommendation written within the last two years (to be provided by referees electronically or in hard copy after receiving an email request);

10. Resume (1 page);

11. Consent for Applicant’s personal data processing (according to the template in applicant’s personal account).

Important:

All required documents indicated above (excluding letters of recommendation) must be uploaded by candidates to the Personal account before the indicated deadline.

All submitted documents shall be in English or with notarized English translation.

Submission of a complete application package does not guarantee admission to the Program.

Applicants recommended for admission must provide hard copies of all documents as requested by the Admissions Department within established period of time.

Applicants who obtained their degree diplomas/certificates from foreign education institutions must request their official transcripts to be sent directly to the University: 010000, Astana, Kabanbay Batyr Ave., 53, Nazarbayev University, Admissions Department.

Standardized test reports shall be sent by the official test administrator directly to the University.

Nazarbayev University  Institutional Codes: 

• GRE – 6496

• TOEFL – 6762

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Aims and Objectives

The overarching aim of the program is to develop high-quality doctoral researchers who are ready and able to make a lasting contribution to addressing scientific, technological, economic, societal and environmental challenges of global significance. It is closely associated with the aim of Kazakhstan to increase its global competitiveness and join the top 30 most developed countries in the world by 2050.

The program aims to prepare:

  • specialists for advanced careers in (national and multinational) industry and academia in Kazakhstan, in neighboring countries and internationally;
  • future policy and decision-makers for careers in governmental agencies, public service, and the social economy, in Kazakhstan, and globally;
  • entrepreneurs who will be able to promote advanced and innovative science-rich technologies anywhere in the world;
  • a new generation of commercially aware and technologically advanced scientists and technologists to lead future developments in robotics;
  • future academics and researchers in robotics engineering for careers as specialists in universities of Kazakhstan and other parts of the world.
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Program Learning Outcomes

On successful completion of the program, the students will be able to:

  • Review, analyse, and evaluate the body of scientific literature in their field of study in Robotics Engineering;
  • Develop and implement research methodologies in the field of Robotics Engineering;
  • Plan, develop, analyse and communicate research in writing and verbally independently;
  • Generate original knowledge and understanding in their area of specialization within Robotics Engineering;
  • Judge technically and ethically and relate their research to the broader field of knowledge in their Robotics Engineering sub-discipline;
  • Develop their academic/scholarly career through presentations, publications, and national and international networking;

Graduate Attributes

  • Possess an in-depth and sophisticated understanding of their domain of study
  • Be intellectually agile, curious, creative and open-minded
  • Be thoughtful decision makers who know how to involve others
  • Be entrepreneurial, self-propelling and able to create new opportunities
  • Be fluent and nuanced communicator across languages and cultures
  • Be cultured and tolerant citizens of the world
  • Demonstrate high personal integrity
  • Be prepared to take a leading role in the development of their country

 

The typical curriculum for the program
Year 1: Fall Semester (1st Semester)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Program Core Research Methods & Ethics* (DENG-782) ROBT 6 56 94
Thesis Research (ROBT-700) ROBT 0 0 30
Dept. Specific courses  L-8 Graduate Elective Course 1 All** 8 75 125
 L-8 Graduate Elective Course 2 All** 8 75 125
 L-8 Graduate Elective Course 3 All** 8 75 125
SEMESTER SUBTOTAL: 30 281 499
(*) Course may be waived for NU graduates and replaced by a Level-8 course (core or elective) selected by the student’s supervisory committee and approved by the corresponding departmental committee. (**) All participating schools and departments with Level-8 courses
Year 1: Spring Semester (2nd Semester)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Program Core Current Research Literature (ROBT-722) ROBT 8 45 155
Thesis Research (ROBT-700) ROBT 0 0 30
Dept. Specific courses  L-8 Graduate Elective Course 4 All* 8 75 125
 L-8 Graduate Elective Course 5 All* 8 75 125
 L-8 Graduate Elective Course 6 All* 8 75 125
SEMESTER SUBTOTAL: 32 270 555
 (*) All participating schools and departments with L-8 courses.  
Year 1: Summer Term (1st Summer Term)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 0 400
SEMESTER SUBTOTAL: 0 0 400
 
Year 2: Fall (3rd Semester)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 0 720
SEMESTER SUBTOTAL: 0 0 720
 
Year 2: Spring (4th Semester)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 0 720
SEMESTER SUBTOTAL: 0 0 720
 
Year 2: Summer Term (2nd Summer Term)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 0 400
SEMESTER SUBTOTAL: 0 0 400
 
Year 3: Fall (5th Semester)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 0 720
SEMESTER SUBTOTAL: 0 0 720
 
Year 3: Spring (6th Semester)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 0 720
SEMESTER SUBTOTAL: 0 0 720
 
Year 3: Summer Term (3rd Summer Term)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 0 400
SEMESTER SUBTOTAL: 0 0 400
 
Year 4: Fall (7th Semester)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 0 720
SEMESTER SUBTOTAL: 0 0 720
 
Year 4: Spring (8th Semester)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 0 (0) 0 720
SEMESTER SUBTOTAL: 0 (0) 0 720
 
Year 4: Summer (4th Summer Term)
Course Academic Unit ECTS Credits  Workload
Class Hours Self-study Hours
Dept. Core  Thesis Research (ROBT 700) ROBT 178 (0) 0 400
SEMESTER SUBTOTAL: 178 (0) 0 400
 
  Department Graduate Program Committee:
Matteo Rubagotti

Matteo Rubagotti

Associate Professor
Email: matteo.rubagotti@nu.edu.kz

Varol passport photo

Huseyin Atakan Varol

Professor
Email: ahvarol@nu.edu.kz

Michele Folgheraiter1

Michele Folgheraiter

Associate Professor
Email: michele.folgheraiter@nu.edu.kz

Ton Duc Ton

Ton Duc Do

Associate Professor
Email: doduc.ton@nu.edu.kz

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