Lecturers | UZ 350 views

Applications from suitably qualified members are invited to fill the following post:

LECTURER/SENIOR LECTURER/ASSOCIATE PROFESSOR/PROFESSOR

Department of Analytics and Informatics.

1. 1.  Data Science x 2

Responsibilities

•      To teach  various  fields  of  Data  Science  and  Informatics  at  Undergraduate  and

Postgraduate levels, which include laboratory and project supervision.

•      To conduct research in their field of expertise and produce goods and services in line with Education 5.0.

Qualifications, Experience and Attributes

•    Possess a Master’s Degree in Data Science, Computer Science or equivalent.
•    A PhD will be an added advantage.
•    Preferably possess teaching experience, research expertise and industrial experience in Data Science including apache Hadoop, machine learning, computer vision, natural language processing and deep learning.
•     Be results-driven, resilient, self-motivated, highly disciplined resourceful with good problem-solving and critical-thinking skills, and thrives in a fast-paced, results-oriented and ambiguous work environment.
•     Be a strong team player, able to work collaboratively with various stakeholders to achieve desired outcomes.

2. 2.  Security and Auditing x 2

Responsibilities

•            To  teach   various   fields   of   Cybersecurity,   IT   Auditing   at   Undergraduate   and

Postgraduate levels, which include laboratory and project supervision.

• To be able to conduct research in their field of expertise and produce goods and services in line with Education 5.0.

Qualifications, Experience and Attributes

•         Possess a Master’s Degree in Cybersecurity, Auditing or equivalent.
•         A PhD will be an added advantage.
• Preferably possess teaching experience, research expertise and industrial experience in Cybersecurity including knowledge of cryptography, computer forensics, IT audit, block chain technology, number theory and network security.
• Be results-driven, resilient, self-motivated, highly disciplined resourceful with good problem-solving and critical-thinking skills, and thrives in a fast-paced, results-oriented and ambiguous work environment.
• Be a strong team player, able to work collaboratively with various stakeholders to achieve desired outcomes.
•         Be prepared to work after hours.

3. 3.  Knowledge Management x 3

Responsibilities

• To teach various  fields  of  Knowledge  Management  at  Postgraduate  levels,  which include project supervision.
• To be able to conduct research in their field of expertise and produce goods and services in line with Education 5.0.

Qualifications, Experience and Attributes

•         Possess a  Master’s  Degree  in  Knowledge  Management,  Library  and  Information

Systems or equivalent.

•         A PhD will be an added advantage.
• Preferably possess teaching experience, research expertise and industrial experience in Data and Information Management including Content Management, Information Mining and Analysis, KM Technologies, Knowledge Ethics and Information and Knowledge Assets.
• Be results-driven, resilient, self-motivated, highly disciplined resourceful with good problem-solving and critical-thinking skills, and thrives in a fast-paced, results-oriented and ambiguous work environment.
• Be a strong team player, able to work collaboratively with various stakeholders to achieve desired outcomes.
•         Be prepared to work after hours.

Department of Computer Engineering.

4. 4.  Computer Engineering x 6

Responsibilities

• To teach various fields of Computer Engineering, Hardware Engineering and Software Engineering at Undergraduate and Postgraduate levels, which include laboratory and project supervision.
•                  To conduct research in their field of expertise and produce goods and services in line

with Education 5.0.

Qualifications, Experience and Attributes

•                  Possess a  Master’s  Degree  in  Computer  Engineering,  Software  Engineering,

Computer Science or equivalent.

•                  A PhD will be an added advantage.
• Preferably  possess  teaching   experience,   research   expertise   and   industrial experience in Computer Systems Engineering including Electrical and Electronics principles, Algorithm Design, Database Design, Computer Programming, Compiler Design, Control Systems Engineering, Microprocessors and Embedded Systems, Artificial Intelligence and Software Testing who are committed to exposing students to emerging trends in the field, continuous improvement of self, review of learning

material for students and adoption of industry standards in practical and research work.

• Be results-driven, resilient, self-motivated, highly disciplined resourceful with good problem-solving and  critical-thinking skills, and thrives in a fast-paced, results- oriented and ambiguous work environment.
• Be a strong team player, able to work collaboratively with various stakeholders to achieve desired outcomes.

Department of Computer Science

5. 5.  Computer Science x 5

Responsibilities

• To teach various fields of Artificial Intelligence (AI), Robotics, Automation, Machine Learning Cloud Computing and Internet of Things (loT) at Undergraduate and Postgraduate levels, which include laboratory and project supervision.
• To conduct research in their field of expertise and produce goods and services in line with Education 5.0.

Qualifications, Experience and Attributes

•              Possess a Master’s Degree in Computer Science, Artificial Intelligence, Machine

Learning or equivalent.

•              A PhD will be an added advantage.
• Preferably  possess  teaching   experience,   research   expertise   and   industrial experience in computer systems with practical experience with Programming Languages like Python, Prolog, R, experience with AI platforms such as Google, Tensor flow, Dialog flow, Premonitions and experience with Open Source Devs Ops tools and software as a service solution in the development and implementation of AI and Machine Learning Algorithms.
• Be results-driven, resilient, self-motivated, highly disciplined resourceful with good problem-solving and  critical-thinking skills, and thrives in a fast-paced, results- oriented and ambiguous work environment.
• Be a strong team player, able to work collaboratively with various stakeholders to achieve desired outcomes.

Department of Electronics and Telecommunications.

6. 6.  Electronics/Electronic Engineering x 2

Responsibilities

• To teach various fields of Electronics and Telecommunications at Undergraduate and Postgraduate levels, which include laboratory and project supervision.
•                  To conduct research in their field of expertise and produce goods and services in

line with Education 5.0.

Qualifications, Experience and Attributes

•              Possess a Master’s Degree in Cybersecurity, Auditing or equivalent.
•              A PhD will be an added advantage.
• Preferably  possess  teaching   experience,   research   expertise   and   industrial experience in Electronics, Electronic Instrumentation, Embedded Systems, Microprocessors and Microcontrollers, Electronics systems including knowledge of circuit boards, processors, chips, electronic equipment and electronic control of mechanical systems.
• Be results-driven, resilient, self-motivated, highly disciplined resourceful with good problem-solving and  critical-thinking skills, and thrives in a fast-paced, results- oriented and ambiguous work environment.
•                  Bea strong team player, able to work collaboratively with various stakeholders to

achieve desired outcomes.

7. 7.  Telecommunicationsx 2

Responsibilities

• To teach various fields of Telecommunications at Undergraduate and Postgraduate levels, which include laboratory and project supervision.
• To be able to conduct research in their field of expertise and produce goods and services in line with Education 5.0.

Qualifications, Experience and Attributes

•              Possess a Master’s Degree in Telecommunications Engineering or equivalent.
•              A PhD will be an added advantage.
• Preferably  possess  teaching   experience,   research   expertise   and   industrial experience in RF and Microwave Technologies, Mobile and Wireless Technologies, Optical Fibre Technologies, Satellite Communication Systems and Technologies design and installation of telecommunications equipment and systems for broadband, cable, cellular transmissions, digital and analog equipment and tools, electronic switching systems, and other telephone service facilities, IP networks, optical fibre and microwave transmission systems.
• Professional certification from vendors and organisations such as Cisco, Huawei, Oracle, HP etc. would be an added advantage.
• Be results-driven, resilient, self-motivated, highly disciplined resourceful with good problem-solving and  critical-thinking skills, and thrives in a fast-paced, results- oriented and ambiguous work environment.
• Be a strong team player, able to work collaboratively with various stakeholders to achieve desired outcomes.
•                  Be prepared to work after hours.

8. 8.  Network Engineering x 1

Responsibilities

• To teach various fields of Network Engineering at Undergraduate and Postgraduate levels, which include laboratory and project supervision.
• To be required to conduct research in their field of expertise and produce goods and services in line with Education 5.0.

Qualifications, Experience and Attributes

•              Possess a Master’s Degree in Network Engineering, Computer Science or Electrical

Engineering or equivalent.

•              A PhD will be an added advantage.
• Preferably  possess  teaching   experience,   research   expertise   and   industrial experience in Novell, Windows, UNIX, NT, SQL databases and VMware, network configurations, computer software/computer systems engineering, computer systems and networks, network security management, design maintenance and installation of networks that support voice, data, video and wireless network services.
• Professional certification from vendors and organisations such as Cisco, Huawei, Oracle, HP etc. would be an added advantage.
• Be results-driven, resilient, self-motivated, highly disciplined resourceful with good problem-solving and  critical-thinking skills, and thrives in a fast-paced, results- oriented and ambiguous work environment.
•                  Bea strong team player, able to work collaboratively with various stakeholders to

achieve desired outcomes.

•                  Be prepared to work after hours.

APPLICATIONS

All applications will be treated in strictest confidence. Six copies of applications, including a curriculum vitae, giving full personal particulars indicating full name, place and date of birth; certified copies of national identification, birth certificate, proof of qualifications, employment and experience, present salary, telephone number and names and addresses of three referees should be addressed to:

Deputy Registrar, Human Resources

University of Zimbabwe

P O Box MP 167

Mount Pleasant

HARARE

Or Hand delivered to the Administration Block, door number 113

The University of Zimbabwe is an equal opportunity employer and therefore men and women are equally encouraged to apply.

The closing date for the receipt of applications is  16 October 2020.  Please note that only short- listed candidates will be contacted.