Are you interested in working with fellow students and getting work experience in teaching? The Department of Electrical Engineering and Automation is looking for several teaching assistants for the following courses during fall semester 2023:
 

1)    ELEC-E8125 Reinforcement Learning

The teaching assistants are expected to grade exercises and project work, as well as respond to student questions. Applicants should have knowledge of reinforcement learning and have a positive attitude towards helping students.

Further information: Joni Pajarinen, [email protected]

2)    ELEC-E8101 Digital and Optimal Control

The tasks of the teaching assistants will include preparing teaching material (e.g. slides, programming examples), exam and assignment correction, homework and exercise sessions. Applicants must have successfully attended Digital and Optimal Control course. LaTeX or Python and Matlab skills are considered as an advantage.

Further information: Dominik Baumann, [email protected]

3)    ELEC-E8740 Basics of sensor fusion D

The tasks of the teaching assistants will include:

• Handling exercise sessions:
  There are 10 exercise sessions, and in each of them 3 assignments should be solved by either teaching assistant or students (if it is preferable)

• Handling project work:
  Teaching assistants should prepare the "project guide" or modify the available one, explain the instruction of the project work in one session in the class, allocate time for students to come to the laboratory and collect data.
   

• Grading:
  There are 2 exams, about 10 homeworks and 2 reports for project work that should be graded.
   

• Being in contact with students online using e.g. Zulip:
  During each week the teaching assistants should allocate some time for online discussion with students about homework, exercises, or lectures.

The applicants are expected to have knowledge of linear algebra, mathematical statistics, calculus, sensor fusion systems and Kalman filtering algorithms for solving sensor fusion problem.

Further information: Fatemeh Yaghoobi, [email protected]

4)    ELEC-E8103 Modelling, Estimation, and Dynamic Systems

The teaching assistants are expected to guide several of the (computer) exercises and check the submitted assignments with other assistants. There are 5 exercise weeks distributed in periods I&II, each exercise week contains 4 x 2h exercise sessions. The teaching assistants can guide those sessions together or share the sessions among assistants.
 

The teaching assistants should have taken the course with a very good or excellent mark, or have similar experiences: modeling using ODE, Simulink, regression, and system identification.

Further information: Quan Zhou, [email protected]

The teaching language of all courses is English. Teaching assistants will receive a compensation depending on the workload.

If you would like to be considered for the positions, please submit your application by May 14, 2023, through our recruitment system by using the “Apply now!” link below. Please note that these positions are for Aalto students only. We will start reviewing candidates immediately, and the positions will be filled as soon as suitable candidates are found.
 

To apply, please share the following application materials with us, compiled in a single pdf:

• Motivation letter, including information on which courses would you be interested in teaching

• CV including contact information

• Study transcripts
   

For additional information about the positions, please contact the contact person mentioned for each course. In recruitment process related questions, please contact HR partner Camilla Hanganpää ([email protected]).

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