diff --git a/doc/source/user_guide/installation_juwels.rst b/doc/source/user_guide/installation_juwels.rst
index 4f394f30..7653abf6 100644
--- a/doc/source/user_guide/installation_juwels.rst
+++ b/doc/source/user_guide/installation_juwels.rst
@@ -1,2 +1,109 @@
-Installation on Juwels (JSC)
-----------------------------
+Installation on JUWELS Booster (JSC)
+------------------------------------
+
+Log into a JUWELS booster node either with ``ssh`` or by opening a terminal
+in the `JupyterLabs <https://jupyter-jsc.fz-juelich.de/>`_ (choose JUWELS as
+system and LoginNodeBooster as Partition).
+
+
+Create a ``profile.optimas`` file in your home directory with the following content
+
+.. code::
+
+    module purge
+    module load Stages/2023
+    module load GCC
+    module load ParaStationMPI
+    module load CUDA
+    module load SciPy-bundle
+    module load mpi4py
+
+you can do this from the command line by executing ``cat > ~/profile.optimas`` and
+pasting the lines above. To save the file, finalize by pressing ``Ctrl+D``.
+
+Load the source file
+
+.. code::
+
+    source ~/profile.optimas
+
+
+Create a new environment for optimas
+
+.. code::
+
+    python -m venv $PROJECT/<username>/pyenvs/optimas_env
+
+
+Activate the environment
+
+.. code::
+
+    source $PROJECT/<username>/pyenvs/optimas_env/bin/activate
+
+
+Install ``optimas``
+
+.. code::
+
+    pip install optimas
+
+
+Installing FBPIC and Wake-T (optional)
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+A common use case for ``optimas`` is to optimize the output of a plasma acceleration
+simulation with FBPIC or Wake-T (or both). If you need any of these tools, you
+can follow the instructions below to install them in your ``optimas_env``
+environment.
+
+Install FBPIC:
+
+.. code::
+
+    pip install cupy-cuda117
+    pip install fbpic
+
+
+Install Wake-T:
+
+.. code::
+
+    pip install Wake-T
+
+Install openPMD-viewer for data analysis
+
+.. code::
+
+    pip install openPMD-viewer
+
+
+Running an optimas job
+~~~~~~~~~~~~~~~~~~~~~~
+The following script can be used to submit an ``optimas`` job to the JUWELS
+booster (i.e., the ``booster`` partition). For testing, use the
+``develbooster`` partition instead. This script assumes that you
+need one node with 4 GPUs and that your optimas script is called
+``run_optimization.py``.
+
+Make sure to replace ``project_account``, ``user_email`` and ``username`` with
+your data.
+
+.. code::
+
+    #!/bin/bash
+
+    #SBATCH --job-name optimas
+    #SBATCH --nodes=1
+    #SBATCH --partition=booster
+    #SBATCH --account=<project_account>
+    #SBATCH --time=12:00:00
+    #SBATCH --output=stdout
+    #SBATCH --error=stderr
+    #SBATCH --mail-type=END
+    #SBATCH --mail-user=<user_email>
+
+    # Activate environment
+    source ~/profile.optimas
+    source $PROJECT/<username>/pyenvs/optimas_env/bin/activate
+
+    python run_optimization.py
diff --git a/doc/source/user_guide/installation_maxwell.rst b/doc/source/user_guide/installation_maxwell.rst
index 1417f706..cb8f1849 100644
--- a/doc/source/user_guide/installation_maxwell.rst
+++ b/doc/source/user_guide/installation_maxwell.rst
@@ -20,7 +20,7 @@ Create a ``profile.optimas`` file in your home directory with the following cont
     module load maxwell mamba
     . mamba-init
 
-you can do this from the command line by executing ``cat > profile.optimas`` and
+you can do this from the command line by executing ``cat > ~/profile.optimas`` and
 pasting the lines above. To save the file, finalize by pressing ``Ctrl+D``.
 
 Load the source file