IAESTE Internships

Location

Kenya

Internship type

ON-SITE

Reference number

KE-2025-03-MUT

Students Requirements

General discipline

Electrical Engineering
Electronics Engineering

Completed Years of Study

4

Fields of Study

General

Languages

English Good (B1, B2)

Required Knowledge and Experience

-

Other Requirements

Experience with MATLAB, Python or C++ programming is essentialExcellent problem-solving and good algorithm skillsExperience working on LinuxAbility to learn and explain practical engineering and programming concepts andproceduresAbility to develop and document creative examples of functionality to help users meetreal-world design goalsGood understanding of Sensor system solutionsGood background in power systems or telecommunication theory

Work Details

Duration

8 - 8 Weeks

Within These Dates

01.05.2025 - 31.10.2025

Holidays

NONE

Work Environment

-

Gross pay

15000 KES / month

Working Hours

40.0 per week / 8.0 per day

Living Lodging

Type of Accommoditation

IAESTE MUT LC

Cost of lodging

5000 KES / month

Cost of living

13000 KES / month

Work Offered

Additional Info

Work description

The University is looking for a motivated student to take part in the design of a data logginginterface using wireless network principle in order to facilitate the process of monitoringphysical parameters such as temperature, pressure, humidity, e.tc. The design will use bothArduino platform for the sensor network and a python platform for the data logging interfacewhich requires the knowledge of python scripting language. Each sensor node will beconnected wirelessly to the data logging device using the Wi-Fi protocol such that each deviceused in the network is Wi-Fi enabled including database server device. The students will beexpected to perform data processing and data visualization using MATLAB, coding and reviewof Python based scripts for data wrangling and validation, field measurements and dataacquisitions. In addition, the student will adhere to data quality requirements, performancemeasurements and benchmarking of sensor system solutions. Finally, the student will conduct astatistical analysis of test results and data sets and provide feedback throughout thedevelopment process.

Deadline

26.04.2025